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  2018 (25)
Regelungstechnik in der Synthetischen Biologie: Konzeptionelle und experimentelle Realisierung von PID Reglern im Inneren von Zellen. Wolfgang Halter, F. A. Talk at 52. Regelungstechnisches Kolloquium Boppard, 2018.
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Verteilte Optimierung und Regelung über gerichtete Graphen: Ein neuer Ansatz mittels Lie Klammern. Simon Michalowsky, C. E. Talk at 52. Regelungstechnisches Kolloquium Boppard, 2018.
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Bit rate bounds for containability of scalar systems with event-based sampling. Linsenmayer, S. Talk at Mini-Workshop: Entropy, Information and Control at MFO Oberwolfach, 2018.
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Nonlinear reference tracking: An economic model predictive control perspective. Köhler, J.; Müller, M. A.; and Allgöwer, F. IEEE Trans.\ Automat.\ Control . 2018. to appear
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Nonlinear Reference Tracking with Model Predictive Control: An Intuitive Approach. Köhler, J.; Müller, M. A.; and Allgöwer, F. In Proc.\ European Control Conf.\ (ECC), 2018. to appear
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A novel constraint tightening approach for nonlinear robust model predictive control. Köhler, J.; Müller, M. A.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), 2018. to appear
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Mathematical modeling of the pituitary-thyroid feedback loop: role of a TSH-T3-shunt and sensitivity analysis. Berberich, J.; Dietrich, J. W.; Hoermann, R.; and Müller, M. A. Frontiers in Endocrinology. 2018. to appear
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On optimal system operation in robust economic MPC. Bayer, F. A.; Müller, M. A.; and Allgöwer, F. Automatica, 88: 98 - 106. 2018.
On optimal system operation in robust economic MPC [link]Paper   doi   link   bibtex  
Indefinite Linear Quadratic Optimal Control: Strict Dissipativity and Turnpike Properties. Berberich, J.; Köhler, J.; Allgöwer, F.; and Müller, M. A. IEEE Control Systems Letters, 2(3): 399-404. 2018.
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Indefinite linear quadratic optimal control: periodic dissipativity and turnpike properties. Berberich, J.; Köhler, J.; Allgöwer, F.; and Müller, M. A. Viennese Conference on Optimal Control and Dynamic Games, July 2018.
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Stochastic thresholds in event-triggered control: A consistent policy for quadratic control. D.~Brunner, F.; Antunes, D.; and Allgöwer, F. Automatica, 89: 376–381. 2018.
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Bcl-2-mediated control of TRAIL-induced apoptotic response in the non-small lung cancer cell line NCI-H460 is effective at late caspase processing steps. Danish, L.; Imig, D.; Allgöwer, F.; Scheurich, P.; and Pollak, N. PLoS One, 13(6). 2018.
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Derivative-Free Optimization Algorithms Based on Non-Commutative Maps. Feiling, J.; Zeller, A.; and Ebenbauer, C. IEEE Control Systems Letters, 2(4): 743-748. Oct 2018.
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Gradient extremum seeking for static maps with actuation dynamics governed by diffusion PDEs. Feiling, J.; Koga, S.; Krstić, M.; and Oliveira, T. R. Automatica, 95: 197–206. 2018.
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Gradient extremum seeking for static maps with actuation dynamics governed by diffusion PDEs. Feiling, J.; Koga, S.; Krstić, M.; and Oliveira, T. R. Automatica, 95: 197–206. 2018.
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Death patterns resulting from cell cycle-independent cell death. Imig, D.; Kuritz, K.; Pollak, N.; Rehm, M.; and Allgöwer, F. IFAC-PapersOnLine, 51(19): 90-93. 2018. 7th Conference on Foundation of Systems Biology in Engineering FOSBE 2018
Death patterns resulting from cell cycle-independent cell death [link]Paper   doi   link   bibtex  
A distributed economic MPC framework for cooperative control under conflicting objectives. K�hler, P. N.; M�ller, M. A.; and Allg�wer, F. Automatica, 96: 368 - 379. 2018.
A distributed economic MPC framework for cooperative control under conflicting objectives [link]Paper   doi   link   bibtex  
A novel constraint tightening approach for nonlinear robust model predictive control. Köhler, J.; Müller, M. A.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 728-734, Milwaukee, Wisconsin, 2018.
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Dynamic Resource Allocation to Control Epidemic Outbreaks -A Model Predictive Control Approach. Köhler, J.; Enyioha, C.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 1546-1551, Milwaukee, Wisconsin, 2018.
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MPC for nonlinear periodic tracking using reference generic offine computations. Köhler, J.; Müller, M. A.; and Allgöwer, F. In Proc.\ IFAC Conf.\ Nonlinear Model Predictive Control (NMPC), pages 656-661, Madison, Wisconsin, 2018.
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. Kuritz, K.; Halter, W.; and Allgöwer, F. Passivity-Based Ensemble Control for Cell Cycle Synchronization, pages 1–13. Tempo, R.; Yurkovich, S.; and Misra, P., editor(s). Springer International Publishing, Cham, 2018.
Passivity-Based Ensemble Control for Cell Cycle Synchronization [link]Paper   doi   link   bibtex   abstract  
Broadcast control of oscillating cell populations. Kuritz, K.; and Allgöwer, F. EMBO | EMBL Symposium: Biological Oscillators: Design, Mechanism, Function, June 2018.
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Therapy design by broadcast control of oscillating cell populations. Kuritz, K.; and Allgöwer, F. Curious2018 - Future Insight, July 2018.
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Ensemble control for cell cycle synchronization of heterogeneous cell populations. Kuritz, K.; Imig, D.; Dyck, M.; and Allgöwer, F. IFAC-PapersOnLine, 51(19): 44 - 47. 2018. 7th Conference on Foundation of Systems Biology in Engineering FOSBE 2018
Ensemble control for cell cycle synchronization of heterogeneous cell populations [link]Paper   doi   link   bibtex  
Ensemble Controllability of Cellular Oscillators. Kuritz, K.; Zeng, S.; and Allgöwer, F. IEEE Control Systems Letters,1-6. 2018.
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  2017 (57)
Motion planning for control-affine systems satisfying low-order controllability conditions. Zuyev, A.; and Grushkovskaya, V. Int. J. Control, 90(11): 2517–2537. 2017.
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Obstacle Avoidance Problem for Driftless Nonlinear Systems with Oscillating Controls. Zuyev, A.; and Grushkovskaya, V. In Proc. 20th IFAC World Congress, volume 50, pages 10476–10481, Toulouse, France, jul 2017.
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Periodic Signal Compressors. Zeng, S.; Montenbruck, J. M.; and Allgöwer, F. In Proc. 20th World Congress of the International Federation of Automatic Control, pages 6649–6654, 2017.
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Structured optimal feedback in multi-agent systems: A static output feedback perspective. Zeng, S.; and Allgöwer, F. Automatica, 76: 214 - 221. 2017.
Structured optimal feedback in multi-agent systems: A static output feedback perspective [link]Paper   doi   link   bibtex  
The circuit-breaking algorithm for monotone systems. Thomaseth, C.; Kuritz, K.; Allgoewer, F.; and N., R. Mathematical Biosciences, 284: 80-91. 2017.
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Distributed optimization and extremum seeking over directed graphs. Simon Michalowsky, C. E. Talk at GMA Fachausschuss 1.50 "Grundlagen vernetzter Systeme", 2017.
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Determining dissipation inequalities from input-output samples. Romer, A.; Montenbruck, J. M.; and Allgöwer, F. In Proc.\ 20th IFAC World Congress, pages 7789–7794, 2017.
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Sampling strategies for data-driven inference of passivity properties. Romer, A.; Montenbruck, J. M.; and Allgöwer, F. In Proc.\ 56th IEEE Conf.\ Decision and Control (CDC), pages 6389–6394, Melbourne, Victoria, Australia, 2017.
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Bifurcation Structures in a Bimodal Piecewise Linear Map. Panchuk, A.; Sushko, I.; and Avrutin, V. Front.\ Appl.\ Math.\ Stat., 3(7): 1-21. 2017.
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Linear Systems with Quadratic Outputs. Montenbruck, J. M.; Zeng, S.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 1030-1034, Seattle, WA, USA, 2017.
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Collinear Dynamical Systems. Montenbruck, J. M.; and Zeng, S. In Proc.\ American Control Conf.\ (ACC), pages 3920-3925, Seattle, WA, USA, 2017.
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Collinear Dynamical Systems. Montenbruck, J. M.; and Zeng, S. Syst.\ Contr.\ Lett., 105: 34-43. 2017.
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Fekete Points, Formation Control, and the Balancing Problem. Montenbruck, J. M.; Zelazo, D.; and Allgöwer, F. IEEE Trans.\ Automat.\ Control, 62(10): 5069–5081. 2017.
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An Input-Output Framework for Submanifold Stabilization. Montenbruck, J. M.; Arcak, M.; and Allgöwer, F. IEEE Trans.\ Automat.\ Control, 62(10): 5170–5184. 2017.
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Separable matrices and minimum complexity controllers. Montenbruck, J. M.; and Allgöwer, F. In Proc.\ 56th IEEE Conf.\ Decision and Control (CDC), pages 4187–4192, 2017.
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Distributed extremum seeking over directed graphs. Michalowsky, S.; Gharesifard, B.; and Ebenbauer, C. In Proc.\ 56th IEEE Conf.\ Decision and Control (CDC), pages 2095-2101, Melbourne, Victoria, Australia, 2017.
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Quadratic costs do not always work in MPC. Müller, M. A.; and Worthmann, K. Automatica, 82: 269 - 277. 2017.
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On the relation between dissipativity and discounted dissipativity. Müller, M. A.; and Grüne, L. In Proc.\ 56th IEEE Conf.\ Decision and Control (CDC), pages 5570-5575, 2017.
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Economic and distributed model predictive control: recent developments in optimization-based control. Müller, M. A.; and Allgöwer, F. SICE Journal of Control, Measurement, and System Integration, 10(2): 39-52. 2017.
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Nonlinear moving horizon estimation in the presence of bounded disturbances. Müller, M. A. Automatica, 79: 306 - 314. 2017.
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Stabilizing Stochastic MPC without Terminal Constraints. Lorenzen, M.; Müller, M. A.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 5636–5641, Seattle, Washington, 04 2017.
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Stochastic Model Predictive Control without Terminal Constraints. Lorenzen, M.; Müller, M. A.; and Allgöwer, F. Int.\ J.\ Robust and Nonlinear Control. 2017.
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Constraint-Tightening and Stability in Stochastic Model Predictive Control. Lorenzen, M.; Dabbene, F.; Tempo, R.; and Allgöwer, F. IEEE Trans.\ Automat.\ Control, 62(7): 3165–3177. jul 2017.
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Stochastic MPC with Offline Uncertainty Sampling. Lorenzen, M.; Dabbene, F.; Tempo, R.; and Allgöwer, F. Automatica, 81: 176 - 183. 2017.
Stochastic MPC with Offline Uncertainty Sampling [link]Paper   doi   link   bibtex  
Adaptive Model Predictive Control with Robust Constraint Satisfaction. Lorenzen, M.; Allgöwer, F.; and Cannon, M. In Proc.\ of the 20th IFAC World Congress, pages 3368–3373, Toulouse, France, 2017.
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Robust nonlinear control approach to nontrivial maneuvers and obstacle avoidance for quadrotor UAV under disturbances. Liu, Y.; Rajappa, S.; Montenbruck, J. M.; Stegagno, P.; Bülthoff, H.; Allgöwer, F.; and Zell, A. Robotics and Autonomous Systems, 98: 317–332. 2017.
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Delay-dependent data rate bounds for containability of scalar systems. Linsenmayer, S.; Blind, R.; and Allgöwer, F. In Proc.\ of the 20th IFAC World Congress, pages 7875-7880, Toulouse, France, 2017.
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On the potential of event-based sampling for control with limited data rate. Linsenmayer, S.; and Allgöwer, F. Talk at the Workshop on Information and Communication Theory in Control Systems, 2017.
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Event-based sampling concepts for Networked Control Systems. Linsenmayer, S.; and Allgöwer, F. Talk at GMA Fachausschuss 1.50 Grundlagen vernetzter Systeme, 2017.
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Stability analysis and control design for weakly hard real-time systems. Linsenmayer, S.; and Allgöwer, F. Talk at a Tutorial at Embedded Systems Week, 2017.
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Stabilization of Networked Control Systems with weakly hard real-time dropout description. Linsenmayer, S.; and Allgöwer, F. In Proc.\ 56th IEEE Conf.\ Decision and Control (CDC), pages 4765-4770, Melbourne, Australia, 2017.
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Distributed Model Predictive Control – Coordination of interconnected systems. Köhler, P. N.; Müller, M. A.; and Allgöwer, F. Talk at GMA Fachausschuss 1.50 Grundlagen vernetzter Systeme, 2017.
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On Exploitation of Supply Chain Properties by Sequential Distributed MPC. Köhler, P.; Müller, M. A.; Pannek, J.; and Allgöwer, F. In Proc.\ of the 20th IFAC World Congress, pages 8219-8224, Toulouse, France, 2017.
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Transient performance of economic model predictive control with average constraints. Köhler, P.; Müller, M. A.; and Allgöwer, F. In Proc.\ 56th IEEE Conf.\ Decision and Control (CDC), pages 5557-5562, Melbourne, Victoria, Australia, 2017.
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Real Time Economic Dispatch for power networks: A Distributed Economic Model Predictive Control Approach. Köhler, J.; Müller, M. A.; Li, N.; and Allgöwer, F. In Proc.\ 56th IEEE Conf.\ Decision and Control (CDC), pages 6340-6345, Melbourne, Victoria, Australia, 2017.
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On the relationship between cell cycle analysis with ergodic principles and age-structured cell population models . Kuritz, K.; Stöhr, D.; Pollak, N.; and Allgöwer, F. J.\ Theor.\ Biol., 414: 91-102. 2017.
On the relationship between cell cycle analysis with ergodic principles and age-structured cell population models  [link]Paper   doi   link   bibtex   abstract  
Reconstructing dynamic processes from high dimensional snap shot data. Kuritz, K.; Stöhr, D.; Pollak, N.; and Allgöwer, F. Int.\ Conf.\ on Systems Biology of Human Disease, July 2017.
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Reconstructing dynamic processes from high dimensional snap shot data. Kuritz, K.; Stöhr, D.; Pollak, N.; and Allgöwer, F. Int.\ Conf.\ on Systems Biology, August 2017.
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Sampling-based Bayesian approaches reveal the importance of quasi-bistable behavior in cellular decision processes on the example of the MAPK signaling pathway in PC-12 cell lines. Jensch, A.; Thomaseth, C.; and Radde, N. E. BMC Sys. Biol., 11(1): 11. 1 2017.
Sampling-based Bayesian approaches reveal the importance of quasi-bistable behavior in cellular decision processes on the example of the MAPK signaling pathway in PC-12 cell lines [link]Paper   doi   link   bibtex   abstract  
Cell population dynamics during apoptotic treatment. Imig, D.; Pollak, N.; and Allgöwer, F. SBHD, Heidelberg, July 2017.
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Cost-to-travel functions: a new perspective on optimal and model predictive control. Houska, B.; and Müller, M. A. Syst.\ Contr.\ Lett., 106: 79-86. 2017.
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Signal differentiation with genetic networks. Halter, W.; Tuza, Z. A.; and Allgöwer, F. In Proc.\ 20th IFAC World Congress, Toulouse, France, 2017.
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A resource dependent protein synthesis model for evaluating synthetic circuits. Halter, W.; Montenbruck, J. M.; Tuza, Z. A.; and Allgöwer, F. J.\ Theor.\ Biol., 420: 267-278. 2017.
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Systems with integral resource consumption. Halter, W.; Montenbruck, J. M.; and Allgöwer, F. In Proc.\ 56th IEEE Conf.\ Decision and Control (CDC), Melbourne, Australia, 2017.
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Extremum Seeking for Time-Varying Functions using Lie Bracket Approximations. Grushkovskaya, V.; Dülrr, H.; Ebenbauer, C.; and Zuyev, A. In Proc. 20th IFAC World Congress, volume 50, pages 5522–5528, Toulouse, France, jul 2017.
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New results on semi-explicit and almost explicit MPC algorithms. Goebel, G.; and Allgöwer, F. at-Automatisierungstechnik, 65(4): 245–259. 2017.
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Semi-explicit MPC based on subspace clustering. Goebel, G.; and Allgöwer, F. Automatica, 83: 309–316. 2017.
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A first step toward moving horizon state estimation based on relaxed logarithmic barrier functions. Gharbi, M.; Feller, C.; and Ebenbauer, C. In Proc.\ 56th IEEE Conf.\ Decision and Control (CDC), pages 2188-2194, Melbourne, Victoria, Australia, 2017.
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Relaxed Logarithmic Barrier Function Based Model Predictive Control of Linear Systems. Feller, C.; and Ebenbauer, C. IEEE Trans.\ Automat.\ Control, 62(3): 1223-1238. 2017.
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A stabilizing iteration scheme for model predictive control based on relaxed barrier functions. Feller, C.; and Ebenbauer, C. Automatica, 80: 328–339. 2017.
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Distributed Optimization over Directed Graphs with the help of Lie Brackets. Ebenbauer, C.; Michalowsky, S.; Grushkovskaya, V.; and Gharesifard, B. In Proc.\ 20th IFAC World Congress, volume 50, pages 15343–15348, Toulouse, France, jul 2017.
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State-dependent priority scheduling for networked control systems. Carabelli, B. W.; Blind, R.; Dürr, F.; and Rothermel, K. In Proc.\ American Control Conf.\ (ACC), 2017.
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Dangerous Bifurcations Revisited. Avrutin, V.; Zhusubaliyev, Z.; Saha, A.; Banerjee, S.; Gardini, L.; and Sushko, I. Int.\ J.\ Bifurcat.\ Chaos, 26(14): 1630040. 2017.
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Cascades of alternating pitchfork and flip bifurcations in H-bridge inverters. Avrutin, V.; Zhusubaliyev, Z.; and Mosekilde, E. Physica~D, 345: 27-39. 2017.
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Low-dimensional piecewise smooth maps with an unpredictable number of switching manifolds. Avrutin, V.; Zhusubaliyev, \.; and Mosekilde, E. In Proc.\ 9th European Nonlinear Dynamics Conference (ENOC), Budapest, Hungary, 2017.
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Bubbling in a power electronic inverter: Onset, development and detection. Avrutin, V.; Morcillo, J.; Zhusubaliyev, Z.; and Angulo, F. Chaos, Solitons & Fractals, 104: 135-152. 2017.
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. Aguiar, A. P.; Bayer, F. A.; Hauser, J.; Häusler, A. J.; Notarstefano, G.; Pascoal, A. M.; Rucco, A.; and Saccon, A. Constrained Optimal Motion Planning for Autonomous Vehicles Using PRONTO, pages 207–226. Fossen, T. I.; Pettersen, K. Y.; and Nijmeijer, H., editor(s). Springer International Publishing, 2017.
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  2016 (64)
Time-varying stabilization of a class of driftless systems satisfying second-order controllability conditions. Zuyev, A.; Grushkovskaya, V.; and Benner, P. In Proc.\ European Control Conf.\ (ECC), pages 575-580, Aalbrog, Denamrk, 2016.
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Ensemble Observability of Linear Systems. Zeng, S.; Waldherr, S.; Ebenbauer, C.; and Allgöwer, F. IEEE Trans.\ Automat.\ Control, 61(6): 1452-1465. 2016.
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State estimation of interconnected ensembles with anonymized outputs. Zeng, S.; Ishii, H.; and Allgöwer, F. In Proc.\ 6th IFAC Workshop on Distributed Estimation and Control in Networked Systems, Tokyo, Japan, 2016.
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On the Ensemble Observability of Dynamical Systems. Zeng, S.; and Allgöwer, F. In Proc.\ 22nd Int.\ Symp.\ Mathematical Theory of Networks and Systems (MTNS), pages 685–688, Minnesota, Minneapolis, USA, 2016.
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On the Moment Dynamics of Discrete Measures. Zeng, S.; and Allgöwer, F. In Proc.\ 55th IEEE Conf.\ Decision and Control (CDC), pages 4901–4906, Las Vegas, NV, USA, 2016.
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A General Sampled Observability Result and Its Applications. Zeng, S.; and Allgöwer, F. In Proc.\ 55th IEEE Conf.\ Decision and Control (CDC), pages 3997–4002, Las Vegas, NV, USA, 2016.
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A moment-based approach to ensemble controllability of linear systems. Zeng, S.; and Allgöwer, F. Syst.\ Contr.\ Lett., 98: 49 - 56. 2016.
A moment-based approach to ensemble controllability of linear systems [link]Paper   doi   link   bibtex  
Observer-based synchronization with relative measurements and unknown neighbour models. Wu, J.; Ugrinovskii, V.; and Allgöwer, F. In Proc.\ Australian Control Conf.\ (AuCC), Newcastle, Australia, 2016.
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Consensus-based distributed Kalman-Bucy filter for continuous-time systems. Wu, J.; Elser, A.; Zeng, S.; and Allgöwer, F. In Proc.\ 6th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), 2016.
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Verteilte Zustandsschätzung zur Ausgangsregulierung von verteilten Systemen mit gekoppelten Messgrößen. Wu, J.; and Allgöwer, F. at-Automatisierungstechnik, 64(8): 645-657. 2016.
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Efficient Computation of All Distinct Realization Structures of Kinetic Systems. Tuza, Z. A; Ács, B.; Szederkényi, G.; and Allgöwer, F. In IFAC-PapersOnLine, volume 49, of Foundations of Systems Biology in Engineering - FOSBE 2016 Magdeburg, Germany, pages 194–200, 2016. Elsevier
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Normalization of Western blot data affects the statistics of estimators. Thomaseth, C.; and Radde, N. 80th Annual Conference of the DPG (Deutsche Physikalische Gesellschaft), March 2016.
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Normalization of Western blot data affects the statistics of estimators. Thomaseth, C.; and Radde, N. In Proc.\ 6th Foundations of Systems Biology in Engineering (FOSBE), volume 26, of Foundations of Systems Biology in Engineering - FOSBE 2016 Magdeburg, Germany, pages 56-62, 2016.
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Nonsmooth One-dimensional Maps: Some Basic Concepts and Definitions. Sushko, I.; Gardini, L.; and Avrutin, V. J.\ Differ.\ Equations Appl., 22(12): 1816-1870. 2016.
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On Distributed and Cooperative Control Design for Networks of Dynamical Systems. Seyboth, G. S. Ph.D. Thesis, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2016.
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Multistability equivalence between gene regulatory networks of different dimensionality with application to a differentiation network. Schittler, D.; Jouini, T.; Allgöwer, F.; and Waldherr, S. Int.\ J.\ Robust and Nonlinear Control. 2016.
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The Physics behind Systems Biology. Radde, N.; and Hütt, M. Eur.\ Phys.\ J.\ Nonlin.\ Biomed.\ Phys., 4(1). 2016.
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Robustness and filtering properties of ubiquitous signaling network motifs. Paul, D.; and Radde, N. In Proc.\ 6th Foundations of Systems Biology in Engineering (FOSBE), Magdeburg, Germany, 2016.
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Structural design with biological methods: optimality,multi-functionality and robustness. Paul, D.; Dehkordi Fayegh Koohi, L.; von Scheven, M.; and Bischoff, M. Biologically Design and Integrative Structures - Analysis, Simulation, Implementation in Architecture. Knippers, J.; Nickel, K.; and Speck, T., editor(s). Springer International Publishing AG, 2016.
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Final-State Constrained Optimal Control via a Projection Operator Approach. Notarnicola, I.; Bayer, F. A.; Notarstefano, G.; and Allgöwer, F. In Proc.\ European Control Conf.\ (ECC), pages 148-153, 2016.
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Exponentially Fast Distributed Coordination for Nonsmooth Convex Optimization. Niederländer, S. K.; F., A.; and J., C. In Proc.\ 55th IEEE Conf.\ Decision and Control (CDC), pages 1036-1041, Las Vegas, NV, USA, 2016.
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Economic model predictive control without terminal constraints for optimal periodic behavior. Müller, M. A.; and Grüne, L. Automatica, 70: 128-139. 2016.
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Nonlinear moving horizon estimation for systems with bounded disturbances. Müller, M. A. In Proc.\ American Control Conf.\ (ACC), pages 883-888, 2016.
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On the Observability Properties of Systems with Rolling Shutter. Montenbruck, J. M.; Zeng, S.; and Allgöwer, F. In Proc.\ 54th Annual Allerton Conf.\ on Communication, Control, and Computing, 2016.
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Compensating Drift Vector Fields with Gradient Vector Fields for Asymptotic Submanifold Stabilization. Montenbruck, J. M.; Bürger, M.; and Allgöwer, F. IEEE Trans.\ Automat.\ Control, 61(2): 388-399. 2016.
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Input-Output Control of Composite Systems. Montenbruck, J. M.; and Allgöwer, F. In Proc.\ 55th IEEE Conf.\ Decision and Control (CDC), 2016.
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Persistence of Excitation and the Feedback Theorem for Passive Systems. Montenbruck, J. M.; and Allgöwer, F. In Proc.\ 10th IFAC Symp.\ Nonlinear Control Systems (NOLCOS), 2016.
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Some Problems Arising in Controller Design from Big Data via Input-Output Methods. Montenbruck, J. M.; and Allgöwer, F. In Proc.\ 55th IEEE Conf.\ Decision and Control (CDC), 2016.
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Asymptotic Stabilization of Submanifolds Embedded in Riemannian Manifolds. Montenbruck, J. M.; and Allgöwer, F. Automatica, 74: 349–359. 2016.
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Gradient approximation and extremum seeking via needle variations. Michalowsky, S.; and Ebenbauer, C. In Proc.\ American Control Conf.\ (ACC), pages 6091-6096, Boston, MA, USA, 2016.
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Extremum control of linear systems based on output feedback. Michalowsky, S.; and Ebenbauer, C. In Proc.\55th IEEE Conf.\ Decision and Control (CDC) , pages 2963-2968, Las Vegas, NV, USA, 2016.
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Industrie 4.0 - (R)evolution ohne Regelungstechnik?. Listmann, K.; Wenzelburger, P.; and Allgöwer, F. at-Automatisierungstechnik, 64(7): 507-520. July 2016. Special Issue: Big Data & Automatisierung
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Industrie 4.0 - (R)evolution without Control Technologies?. Listmann, K.; Wenzelburger, P.; and Allgöwer, F. J.\ of The Society of Instrument and Control Engineers, 55(7): 555-565. July 2016.
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A non-monotonic approach to periodic event-triggered control with packet loss. Linsenmayer, S.; Dimarogonas, D. V.; and Allgöwer, F. In Proc.\ 55th IEEE Conf.\ Decision and Control (CDC), pages 507-512, Las Vegas, NV, USA, 2016.
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Event-based methods in Net-CPS: An example and arising challenges. Linsenmayer, S.; and Allgöwer, F. Abstract in Proc.\ Int.\ Symp.\ on Networked Cyber-Physical Systems (NET-CPS), 2016.
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A distributed economic MPC scheme for coordination of self-interested systems. Köhler, P. N.; Müller, M. A.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 889–894, Boston, MA, USA, 2016.
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On topological conditions to maintain leader-follower connectivity in double-integrator multi-agent systems. Köhler, P. N.; and Dimarogonas, D. V. In Proc.\ 24th Mediterranean Conf.\ Control and Automation (MED), pages 767–772, Athens, Greece, 2016.
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Too Young to Die: Age Structured Population Models Capture Cell Cycle Dependent Apoptosis from Snapshot Data. Kuritz, K.; Müller, F.; Pollak, N.; and Allgöwer, F. Int.\ Conf.\ on Systems Biology of Human Disease, June 2016.
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Stabilizing Model Predictive Control without Terminal Constraints for Switched Nonlinear Systems. Knüfer, S.; Müller, M. A.; and Allgöwer, F. In Proc.\ 10th IFAC Symp.\ Nonlinear Control Systems (NOLCOS), pages 65-70, Monterey, CA, USA, 2016.
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The effect of model rescaling and normalization on sensitivity analysis on an example of a MAPK pathway model. Kirch, J.; Thomaseth, C.; Jensch, A.; and Radde, N. Eur.\ Phys.\ J.\ Nonlin.\ Biomed.\ Phys., 4(3). 2016.
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Distributed optimal kalman-bucy filter with guaranteed stability. Kim, J.; Shim, H.; and Wu, J. In Proc.\ 55th IEEE Conf.\ Decision and Control (CDC), Las Vegas, NV, 2016.
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Geometric stability considerations of the ribosome flow model with pool. Halter, W.; Montenbruck, J. M.; and Allgöwer, F. In Proc.\ 22nd Int.\ Symp.\ Mathematical Theory of Networks and Systems (MTNS), pages 424-429, Minneapolis, MN, USA, 2016.
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Multi-Agent Coordination with Lagrangian Measurements. Grushkovskaya, V.; and Ebenbauer, C. In Proc. 6th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), pages 115-120, Tokyo, Japan, September 2016.
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Asymptotic behavior of solutions of nonlinear systems with multiple imaginary eigenvalues. Grushkovskaya, V. PAMM, 16(1): 271–272. 2016.
doi   link   bibtex  
On the influence of resonances on the asymptotic behavior of trajectories of nonlinear systems in critical cases. Grushkovskaya, V. Nonlinear Dynamics, 86(1): 587–603. 2016.
doi   link   bibtex  
On the relation between strict dissipativity and turnpike properties. Grüne, L.; and Müller, M. A. System & Control Letters, 90: 45-53. 2016.
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Robust output feedback model predictive control based on relaxed barrier functions. Feller, C.; Ouerghi, M.; and Ebenbauer, C. In Proc.\ 55th IEEE Conf.\ Decision and Control (CDC), pages 1477-1483, Las Vegas, NV, USA, 2016.
link   bibtex  
Robust stability properties of MPC iteration schemes based on relaxed barrier functions. Feller, C.; and Ebenbauer, C. In Proc.\ 55th IEEE Conf.\ Decision and Control (CDC), pages 1484-1489, Las Vegas, NV, USA, 2016.
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Enhancing Output Feedback MPC for Linear Discrete-time Systems with Set-valued Moving Horizon Estimation. Brunner, F. D.; Müller, M. A.; and Allgöwer, F. In Proc.\ 55th IEEE Conf.\ Decision and Control (CDC), pages 2733-2738, Las Vegas, NV, USA, 2016.
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Dynamic Thresholds in Robust Event-Triggered Control for Discrete-Time Linear Systems. Brunner, F. D.; Heemels, W. P. M. H.; and Allgöwer, F. In Proc.\ European Control Conf.\ (ECC), pages 983–988, Aalborg, Denmark, 2016.
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$γ$-Invasive Event-triggered and Self-triggered Control for Perturbed Linear Systems. Brunner, F. D.; Heemels, W. P. M. H.; and Allgöwer, F. In Proc.\ 55th IEEE Conf.\ Decision and Control (CDC), pages 1346-1351, Las Vegas, NV, USA, 2016.
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Numerical Evaluation of a Robust Self-Triggered MPC Algorithm. Brunner, F. D; Heemels, W. P . M. H; and Allgöwer, F. In Proc.\ 6th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), volume 49, pages 151–156, Tokyo, Japan, 2016.
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Robust self-triggered MPC for constrained linear systems: A tube-based approach. Brunner, F. D.; Heemels, M.; and Allgöwer, F. Automatica, 72: 73–83. 2016.
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Robust Steady State Optimization for Polytopic Systems. Brunner, F. D.; Bayer, F. A.; and Allgöwer, F. In Proc.\ 55th IEEE Conf.\ Decision and Control (CDC), pages 4084-4089, Las Vegas, NV, USA, 2016.
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A Lyapunov Function Approach to the Event-triggered Stabilization of the Minimal Robust Positively Invariant Set. Brunner, F. D; and Allgöwer, F. In Proc.\ 6th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), volume 49, pages 25–30, Tokyo, Japan, 2016.
link   bibtex  
Identification, analysis and control of discrete and continuous models of gene regulation networks. Breindl, C Ph.D. Thesis, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2016.
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Potential Applications of Serum HBsAg Level Measurement in Patients with Hepatitis B and D Co-Infection. Belopolskaya, M.; Avrutin, V.; Firsov, S.; and Yakovlev, A. Gastroenterology & Hepatology, 5(7): 00170. 2016.
doi   link   bibtex  
Min-max Economic Model Predictive Control Approaches with Guaranteed Performance. Bayer, F. A.; Müller, M. A.; and Allgöwer, F. In Proc.\ 55th IEEE Conf.\ Decision and Control (CDC), pages 3210–3215, 2016.
link   bibtex  
Robust Economic Model Predictive Control using Stochastic Information. Bayer, F. A.; Lorenzen, M.; Müller, M. A.; and Allgöwer, F. Automatica, 74: 151-161. 2016.
link   bibtex  
A Tube-Based Approach to Nonlinear Explicit MPC. Bayer, F. A.; Brunner, F. D.; Lazar, M.; Wijnand, M. G. A.; and Allgöwer, F. In Proc.\ 55th IEEE Conf.\ Decision and Control (CDC), pages 4059–4064, 2016.
link   bibtex  
Periodic Reference Tracking for Nonlinear Systems via Model Predictive Control. Aydiner, E.; Müller, M. A.; and Allgöwer, F. In Proc.\ European Control Conf.\ (ECC), pages 2602–2607, Aalborg, Denmark, 2016.
link   bibtex  
Border collisions inside the stability domain of a fixed point. Avrutin, V.; Zhusubaliyev, Z.; and Mosekilde, E. Physica~D, 321-322: 1-15. 2016.
doi   link   bibtex  
Disrupted bandcount doubling in an AC-DC boost PFC circuit modeled by a time varying map. Avrutin, V.; Zhusubaliyev, Z.; El~Aroudi, A.; Fournier-Prunaret, D.; Garcia, G.; and Mosekilde, E. J.\ of Physics, 692(1): 012003. 2016.
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Computing all possible graph structures describing linearly conjugate realizations of kinetic systems. Ács, B.; Szederkényi, G.; Tuza, Z.; and Tuza, Z. A. Computer Physics Communications, 204: 11-20. 2016.
doi   link   bibtex  
  2015 (61)
On the state estimation problem for discrete ensembles from discrete-time output snapshots. Zeng, S.; Ishii, H.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 4844-4849, Chicago, IL, USA, 2015.
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Sampled Observability of Discrete Heterogeneous Ensembles from Anonymized Output Measurements. Zeng, S.; Ishii, H.; and Allgöwer, F. In Proc.\ 54th IEEE Conf.\ Decision and Control (CDC), pages 5683-5688, 2015.
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On the ensemble observability problem for nonlinear systems. Zeng, S.; and Allgöwer, F. In Proc.\ 54th IEEE Conf.\ Decision and Control (CDC), pages 6318-6323, 2015.
link   bibtex  
Cooperative $H_{∞}$ estimation for large-scale interconnected linear systems. Wu, J.; Ugrinovskii, V.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 2119-2124, Chicago, IL, USA, 2015.
link   bibtex  
Distributed filter design for cooperative $H_∞$-type estimation. Wu, J.; Li, L.; Ugrinovskii, V.; and Allgöwer, F. In Proc.\ IEEE Multiconf.\ Systems and Control (MSC), pages 1373-1378, Sydney, Australia, 2015.
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Data-driven modeling of molecular interactions at the trans-Golgi network of mammalian cells. Weber, P. M. Ph.D. Thesis, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2015.
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A computational model of PKD and CERT interactions at the trans-Golgi network of mammalian cells. Weber, P.; Hornjik, M.; Olayioye, M. A.; Hausser, A.; and Radde, N. BMC Sys. Biol., 9(1): 147. 2015.
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Period adding structure in a 2D discontinuous model of economic growth. Tramontana, F.; Sushko, I.; and Avrutin, V. Applied Mathematics and Computation, 253: 262-273. 2015.
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Model calibration: the statistical effects of data normalization. Thomaseth, C.; and Radde, N. Summer school: The Physics Behind Systems Biology, July 2015.
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Positive and negative feedback-endowed pathways show robustness against biological heterogeneity and stochastic fluctuations. Thomaseth, C.; Jensch, A.; Radde, N.; Kuritz, K.; Allgoewer, F.; Radde N., t. = T. c. a. f. m. s.; Kuritz, K.; Allgoewer, F.; and Radde N., t. = T. c. a. f. m. s. EMBO|EMBL Symposium on Cellular Heterogeneity, April 2015.
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Symmetry breaking in a bull and bear financial market model. Sushko, I.; Tramontana, F.; Westerhoff, F.; and Avrutin, V. Chaos, Solinons and Fractals, 79: 57-72. 2015.
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Bifurcation structure in the skew tent map and its application as a border collision normal form. Sushko, I.; Avrutin, V.; and Gardini, L. J. of Diff. Equations and Applications,1-48. 2015.
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Collective control of multiple unicycle agents with non-identical constant speeds: Tracking control and performance limitation. Sun, Z.; Seyboth, G.; and Andersion, B. In Proc.\ IEEE Conf.\ Control Applications (CCA), Part of IEEE Multi-Conference on Systems and Control (MSC), pages 1361-1366, Sydney, Australia, 2015.
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On Robust Synchronization of Heterogeneous Linear Multi-Agent Systems with Static Couplings. Seyboth, G.; Dimarogonas, D. V.; Johansson, K. H.; Frasca, P.; and Allgöwer, F. Automatica, 53: 392-399. 2015.
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Output Synchronization of Linear Multi-Agent Systems under Constant Disturbances via Distributed Integral Action. Seyboth, G.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 62-67, Chicago, IL, USA, 2015.
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Controller and Network Design Exploiting System Structure. Schuler, S. Ph.D. Thesis, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2015.
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A mathematical modeling framework to simulate and analyze cell type transitions. Schittler, D. Ph.D. Thesis, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2015.
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Bifurcation analysis for intracellular regulation networks based on their circuit structure. Radde, N.; and Klaus, S. In Proc.\ 9th IFAC Symp.\ Biological and Medical Systems, volume 48, pages 165-170, Berlin, Germany, 2015.
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Bifurcation structures in a bimodal piecewise linear map: chaotic dynamics. Panchuk, A.; Sushko, I.; and Avrutin, V. Int.\ J.\ Bifurcat.\ Chaos, 25(3). 2015.
doi   link   bibtex  
Distributed Coordination for Separable Convex Optimization with Coupling Constraints. Niederländer, S. K.; and Cortés, J. In Proc.\ 54th IEEE Conf.\ Decision and Control (CDC), pages 694-699, Osaka, Japan, 2015.
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Norm-controllability of nonlinear systems. Müller, M. A.; Liberzon, D.; and Allgöwer, F. IEEE Trans.\ Automat.\ Control, 60(7): 1825-1840. 2015.
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On the role of dissipativity in economic model predictive control. Müller, M. A.; Grüne, L.; and Allgöwer, F. In Proc.\ 5th IFAC Conf.\ Nonlinear Model Predictive Control (NMPC), volume 48, pages 110-116, 2015.
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Economic model predictive control without terminal constraints: optimal periodic operation. Müller, M. A.; and Grüne, L. In Proc.\ 54th IEEE Conf.\ Decision and Control (CDC), pages 4946-4951, Osaka, Japan, 2015.
link   bibtex  
On necessity and robustness of dissipativity in economic model predictive control. Müller, M. A.; Angeli, D.; and Allgöwer, F. IEEE Trans.\ Automat.\ Control, 60(6): 1671-1676. 2015.
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Retraction Balancing and Formation Control. Montenbruck, J. M.; Zelazo, D.; and Allgöwer, F. In Proc.\ 54th IEEE Conf.\ Decision and Control (CDC), pages 3645-3650, Osaka, Japan, 2015.
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On the Necessity of Diffusive Couplings in Linear Synchronization Problems with Quadratic Cost. Montenbruck, J. M.; Schmidt, G. S.; Seyboth, G. S.; and Allgöwer, F. IEEE Trans.\ Automat.\ Control, 60(11): 3029-3034. 2015.
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Two Gradient-Based Control Laws on SE(3) Derived from Distance Functions. Montenbruck, J. M.; Schmidt, G. S.; Kecskeméthy, A.; and Allgöwer, F. In Interdisciplinary Applications of Kinematic, volume 2, pages 31-41, 2015. Springer
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Extremum Seeking with Drift. Montenbruck, J. M.; Dürr, H.; Ebenbauer, C.; and Allgöwer, F. In Proc.\ 1st MICNON, volume 48, pages 126-130, St. Petersburg, Russia, 2015.
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Practical Synchronization with Diffusive Couplings. Montenbruck, J. M.; Bürger, M.; and Allgöwer, F. Automatica, 53: 235-243. 2015.
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Synchronization of Diffusively Coupled Systems on Compact Riemannian Manifolds in the Presence of Drift. Montenbruck, J. M.; Bürger, M.; and Allgöwer, F. Syst.\ Contr.\ Lett., 76: 19-27. 2015.
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Navigation and Obstacle Avoidance via Backstepping for Mechanical Systems with Drift in the Closed Loop. Montenbruck, J. M.; Bürger, M.; and Allgöwer, F. In Proc.\ 2015 American Control Conference, pages 625-630, Chicago, IL, USA, 2015.
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A Convex Conic Underestimate of Laplacian Spectra and its Application to Network Synthesis. Montenbruck, J. M.; Birk, A.; and Allgöwer, F. In Proc.\ European Control Conf.\ (ECC), pages 563-568, Linz, Austria, 2015.
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Stabilizing Submanifolds with Passive Input-Output Relations. Montenbruck, J. M.; Arcak, M.; and Allgöwer, F. In Proc.\ 54th IEEE Conf.\ Decision and Control (CDC), pages 4381-4387, Osaka, Japan, 2015.
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Model-based extremum seeking for a class of nonlinear systems. Michalowsky, S.; and Ebenbauer, C. In Proc.\ American Control Conf.\ (ACC), pages 2026-2031, Chicago, IL, USA, 2015.
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An Improved Constraint-Tightening Approach for Stochastic MPC. Lorenzen, M.; Allgöwer, F.; Dabbene, F.; and Tempo, R. In Proc.\ American Control Conf.\ (ACC), pages 944-949, Chicago, IL, USA, 2015.
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Scenario-Based Stochastic MPC with Guaranteed Recursive Feasibility. Lorenzen, M.; Allgöwer, F.; Dabbene, F.; and Tempo, R. In Proc.\ 54th IEEE Conf.\ Decision and Control (CDC), pages 4958-4963, Osaka, Japan, 2015.
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Nonlinear Event-Triggered Platooning Control with Exponential Convergence. Linsenmayer, S.; Dimarogonas, D. V.; and Allgöwer, F. In Proc.\ 5th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), volume 48, pages 138-143, Philadelphia, PA, USA, 2015.
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Event-triggered Control for Vehicle Platooning. Linsenmayer, S.; and Dimarogonas, D. V. In Proc.\ American Control Conf.\ (ACC), pages 3101-3106, Chicago, IL, USA, 2015.
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Inferring cell-cycle dependent signalling with age-structured population models. Kuritz, K.; and Allgöwer, F. International Conference on Systems Biology of Human Disease, July 2015.
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Stochastic Methods for Parameter Estimation and Design of Experiments in Systems Biology. Kramer, A. Ph.D. Thesis, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2015.
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Sampling-Based Analysis of Feedback in a Model of the MAP Kinase Pathway. Jensch, A.; Thomaseth, C.; and Radde, N. ``The Physics Behind Systems Biology'', WE-Heraeus Physics School, Jacobs University Bremen, Germany, 2015.
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An individual-based simulation framework for dynamic, heterogeneous cell populations during extrinsic stimulations. Imig, D.; Pollak, N.; Strecker, T.; Scheurich, P.; Allgöwer, F; and Waldherr, S. J.\ Coupled Syst.\ Multiscale Dyn., 3(2): 143-155. 2015.
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Yield-Analysis of Different Coupling Schemes for Interconnected Bio-Reactors. Halter, W.; Kress, N.; Otte, K.; Reich, S.; Hauer, B.; and Allgöwer, F. In Proc.\ SIAM Conf.\ Control and its Applications, pages 384-391, Paris, France, 2015.
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A Simple Semi-Explicit MPC Algorithm. Goebel, G.; and Allgöwer, F. In Proc.\ IFAC Conf.\ Nonlinear Model Predictive Control (NMPC), volume 48, pages 489-494, Seville, Spain, 2015.
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Weight recentered barrier functions and smooth polytopic terminal set formulations for linear model predictive control. Feller, C.; and Ebenbauer, C. In Proc.\ American Control Conf.\ (ACC), pages 1647-1652, Chicago, IL, USA, 2015.
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Input-to-state stability properties of relaxed barrier function based MPC. Feller, C.; and Ebenbauer, C. In Proc.\ IFAC Conf.\ Nonlinear Model Predictive Control (NMPC), volume 48, pages 302-307, Seville, Spain, 2015.
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Constrained Extremum Seeking: A Lie bracket and Singular Perturbation Approach. Dürr, H. B. Ph.D. Thesis, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2015.
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Dynamic Coupling Design for Nonlinear Output Agreement and Time-varying Flow Control. Bürger, M.; and De Persis, C. Automatica, 51: 210-222. 2015.
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Stabilizing model predictive control: On the enlargement of the terminal set. Brunner, F. D.; Lazar, M.; and Allgöwer, F. Int.\ J.\ Robust and Nonlinear Control, 25(15): 2646-2670. 2015.
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Robust Event-Triggered MPC for Constrained Linear Discrete-Time Systems with Guaranteed Average Sampling Rate. Brunner, F. D.; Heemels, W. P. M. H.; and Allgöwer, F. In Proc.\ IFAC Conf.\ Nonlinear Model Predictive Control (NMPC), volume 48, pages 117-122, Seville, Spain, 2015.
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Communication Scheduling in Robust Self-Triggered MPC for Linear Discrete-Time Systems. Brunner, F. D.; Gommans, T. M. P.; Heemels, W. P. M. H.; and Allgöwer, F. In Proc.\ 5th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), volume 48, pages 132-137, Philadelphia, PA, USA, 2015.
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Resource-aware set-valued estimation for discrete-time linear systems. Brunner, F. D.; Gommans, T. M. P.; Heemels, W. P. M. H.; and Allgöwer, F. In Proc.\ 54th IEEE Conf.\ Decision and Control (CDC), pages 5480-5486, Osaka, Japan, 2015.
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Towards Networked Control Systems with Guaranteed Stability: Using Weakly Hard Real-Time Constraints to Model the Loss Process. Blind, R.; and Allgöwer, F. In Proc.\ 54th IEEE Conf.\ Decision and Control (CDC), pages 7510-7515, Osaka, Japan, 2015.
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HBsAg level and Hepatitis B viral load correlation with focus on pregnancy. Belopolskaya, M.; Avrutin, V.; Firsov, S.; and Yakovlev, A. Annals of Gastroenterology, 28(3): 1-6. 2015.
link   bibtex  
Average Constraints in Robust Economic Model Predictive Control. Bayer, F. A.; Müller, M. A.; and Allgöwer, F. In Proc.\ IFAC Int.\ Symp.\ Advanced Control of Chemical Processes (ADCHEM), pages 44-49, Whistler, Britisch Columbia, Canada, 2015.
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Improving Performance in Robust Economic MPC Using Stochastic Information. Bayer, F. A.; Lorenzen, M.; Müller, M. A.; and Allgöwer, F. In Proc.\ IFAC Conf.\ Nonlinear Model Predictive Control (NMPC), volume 48, pages 410-415, Seville, Spain, 2015.
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Robust Self-Triggered Model Predictive Control for Constrained Discrete-Time LTI Systems based on Homothetic Tubes. Aydiner, E.; Brunner, F. D.; Heemels, W. P. M. H.; and Allgöwer, F. In Proc.\ European Control Conf.\ (ECC), pages 1587-1593, Linz, Austria, 2015.
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Calculation of homoclinic and heteroclinic orbits in 1D maps. Avrutin, V.; Schenke, B; and Gardini, L Communications in Nonlinear Science and Numerical Simulation, 22(1-3): 1201-1214. 2015.
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Onset of chaos in a single-phase power electronic inverter. Avrutin, V.; Mosekilde, E.; Zhusubaliyev, Z. T.; and Gardini, L Chaos, 25: 043114. 2015.
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Dynamics of a 2D piecewise linear Braess paradox model: Effect of the third partition. Avrutin, V.; Dibak, C.; Dal~Forno, A.; and Merlone, U. Int. J. Bifurcat. Chaos, 25(11): 1530031. 2015.
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Bandcount adding structure and collapse of chaotic attractors in a piecewise linear bimodal map. Avrutin, V.; Clüver, M.; Mahout, V.; and Fournier-Prunaret, D. Physica D, 309: 37-56. 2015.
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  2014 (58)
An inverse problem of tomographic type in population dynamics. Zeng, S.; Waldherr, S.; and Allgöwer, F. In Proc.\ 53rd IEEE Conf.\ Decision and Control (CDC), pages 1643-1648, Los Angeles, CA, USA, 2014.
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On the Definiteness of the Weighted Laplacian and its Connection to Effective Resistance. Zelazo, D.; and Bürger, M. In Proc.\ 53rd IEEE Conf.\ Decision and Control (CDC), pages 2895-2900, Los Angeles, CA, USA, 2014.
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Inherent robustness properties of quasi-infinite horizon nonlinear model predictive control. Yu, S.; Reble, M.; Chen, H.; and Allgöwer, F. Automatica, 50(9): 2269-2280. 2014.
link   bibtex  
Cooperative estimation for synchronization of heterogeneous multi-agent systems using relative information. Wu, J.; Ugrinovskii, V.; and Allgöwer, F. In Proc.\ 19th IFAC World Congress, pages 4662 - 4667, Cape Town, South Africa, 2014.
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The Role of Sampling for Stability and Performance in Unconstrained Nonlinear Model Predictive Control. Worthmann, K.; Reble, M.; Grüne, L.; and Allgöwer, F. SIAM J.\ Control Optim., 52(1): 581-605. 2014.
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Identifiability of population models via a measure theoretical approach. Waldherr, S.; Zeng, S.; and Allgöwer, F. In Proc.\ 19th IFAC World Congress, pages 1717-1722, Cape Town, South Africa, 2014.
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An Internal Model Approach to Frequency Regulation in Inverter-based Microgrids With Time-varying Voltages. Trip, S.; Bürger, M.; and Persis, C. 2014.
link   bibtex  
Collective Circular Motion of Unicycle Type Vehicles with Nonidentical Constant Velocities. Seyboth, G.; Wu, J.; Qin, J.; Yu, C.; and Allgöwer, F. IEEE Trans.\ Control of Network Systems, 1(2): 167-176. 2014.
link   bibtex  
Synchronized model matching: a novel approach to cooperative control of nonlinear multi-agent systems. Seyboth, G.; and Allgöwer, F. In Proc.\ 19th IFAC World Congress, pages 1985-1990, Cape Town, South Africa, 2014.
link   bibtex  
Decentralized state feedback control for interconnected systems with application to power systems. Schuler, S.; Münz, U.; and Allgöwer, F. J.\ Proc.\ Contr., 24(2): 379-388. 2014.
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A distributed model predictive control scheme for networks with communication failure. Schaich, R. M.; Müller, M. A.; and Allgöwer, F. In Proc.\ 19th IFAC World Congress, pages 12004-12009, Cape Town, South Africa, 2014.
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The Role of Constraints in a Segregation Model: The Symmetric Case. Radi, D.; Gardini, L.; and Avrutin, V. Chaos, Solitons and Fractals, 66: 103-119. 2014.
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The Role of Constraints in a Segregation Model: The Asymmetric Case. Radi, D.; Gardini, L.; and Avrutin, V. Discrete Dynamics in Nature and Society, 2014: Article ID 569296, 17 pages. 2014.
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Convergence of posteriors for structurally non-identified problems using results from the theory of inverse problems. Radde, N.; and Offtermatt, J. J Inverse Ill-Pose P, 22(2): 251-276. 2014.
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Convergence in economic model predictive control with average constraints. Müller, M. A.; Angeli, D.; Allgöwer, F.; Amrit, R.; and Rawlings, J. B. Automatica, 50(12): 3100-3111. 2014.
link   bibtex  
Performance analysis of economic MPC with self-tuning terminal cost. Müller, M. A.; Angeli, D.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 2845-2850, Portland, OR, USA, 2014.
link   bibtex  
On the performance of economic model predictive control with self-tuning terminal cost. Müller, M. A.; Angeli, D.; and Allgöwer, F. J.\ Proc.\ Contr., 24(8): 1179-1186. 2014.
link   bibtex  
Transient average constraints in economic model predictive control. Müller, M. A.; Angeli, D.; and Allgöwer, F. Automatica, 50(11): 2943-2950. 2014.
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Distributed economic MPC: a framework for cooperative control problems. Müller, M. A.; and Allgöwer, F. In Proc.\ 19th IFAC World Congress, pages 1029-1034, Cape Town, South Africa, 2014.
link   bibtex  
Distributed MPC for consensus and synchronization. Müller, M. A.; and Allgöwer, F. In Maestre, J. M.; and Negenborn, R., editor(s), Distributed MPC Made Easy, 5, pages 89-100. Springer Verlag, 2014.
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Distributed and economic model predictive control: beyond setpoint stabilization. Müller, M. A. Ph.D. Thesis, Institute for Systems Theory and Automatic Control, University of Stuttgart, 2014.
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Extremum Seeking and Obstacle Avoidance on the Special Orthogonal Group. Montenbruck, J. M.; Dürr, H.; Ebenbauer, C.; and Allgöwer, F. In Proc.\ 19th IFAC World Congress, pages 8229-8234, Cape Town, South Africa, 2014.
link   bibtex  
Pinning Capital Stock and Gross Investment Rate in Competing Rationally Managed Firms. Montenbruck, J. M.; and Allgöwer, F. In Proc.\ 19th IFAC World Congress, pages 10719-10724, Cape Town, South Africa, 2014.
link   bibtex  
The multidimensional n-th order heavy ball method and its application to extremum seeking. Michalowsky, S.; and Ebenbauer, C. In Proc.\ 53rd IEEE Conf.\ Decision and Control (CDC), pages 2660-2666, Los Angeles, CA, USA, 2014.
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Distributed model predictive load frequency control of multi-area interconnected power system . Ma, M.; Chen, H.; Liu, X.; and Allgöwer, F Int.\ J.\ Electrical Power & Energy Systems, 62: 289 - 298. 2014.
doi   link   bibtex  
Model predictive control using reduced order models: Guaranteed stability for constrained linear systems. Löhning, M.; Reble, M.; Hasenauer, J.; Yu, S.; and Allgöwer, F. J.\ Proc.\ Contr., 24(11): 1647-1659. 2014.
link   bibtex  
Distributed local stabilization in formation control. Lorenzen, M.; and Belabbas, M. In Proc.\ European Control Conf.\ (ECC), pages 2914-2919, Strasbourg, France, 2014.
link   bibtex  
Determining cell-cycle induced variations from snap-shot data sets. Kuritz, K.; and Allgöwer, F. Proc.\ 5th Conf.\ Systems Biology of Mammalian Cells (SBMC), 2014.
link   bibtex  
MCMC_CLIB: An advanced MCMC sampling package for ode models. Kramer, A.; Stathopoulus, V.; Girolami, M.; and Radde, N. Bioinformatics, 30(20): 2991-2992. 2014. doi: 10.1093/bioinformatics/btu429
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Hamiltonian Monte Carlo Methods for Efficient Parameter Estimation in Steady State Dynamical Systems. Kramer, A.; Calderhead, B.; and Radde, N. BMC Bioinf., 15: 253. 2014.
link   bibtex  
Simulations and predictions of TRAIL response in lung cancer cell populations via mathematical modeling. Imig, D.; Waldherr, S.; Strecker, T.; Neumann, S.; Pollak, N.; Scheurich, P.; and Allgöwer, F. Proc.\ 5th Conf.\ Systems Biology of Mammalian Cells (SBMC), 2014.
link   bibtex  
Simulations and predictions of the response of heterogeneous cancer cell populations to apoptosis induction. Imig, D.; Strecker, T.; Pollak, N.; Scheurich, P.; Allgöwer, F.; and Waldherr, S. Conf.\ Computational Models in Biology and Medicine (GMDS), 2014.
link   bibtex  
Determinants of robustness in spindle assembly checkpoint signalling. Heinrich, S.; Geissen, E.; Kamenz, J.; Trautmann, S.; Widmer, C.; Drewe, P.; Knop, M.; Radde, N.; Hasenauer, J.; and Hauf, S. Nat.\ Cell.\ Biol., 15(11): 1328-1339. 2014.
link   bibtex  
Wireless Networking for Control. Haupt, A.; Allgöwer, F.; Blind, R.; Chamaken, A.; Gotzhein, R.; Krämer, M.; and Litz, L. In Lunze, J., editor(s), Control Theory of Digitally Networked Dynamic Systems, pages 325-362. Springer International Publishing, 2014.
link   bibtex  
Improved state dependent parametrizations including a piecewise linear feedback for constrained linear MPC. Goebel, G; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 4192 - 4197, Portland, OR, USA, 2014.
link   bibtex  
State Dependent Parametrizations for Nonlinear MPC. Goebel, G; and Allgöwer, F. In Proc.\ 19th IFAC World Congress, pages 1005 - 1010, Cape Town, South Africa, 2014.
link   bibtex  
Increasing performance of parametrizations for linear MPC via application of a data mining algorithm. Goebel, G.; and Allgöwer, F. In Proc.\ 53rd IEEE Conf.\ Decision and Control (CDC), pages 4932-4937, Los Angeles, CA, USA, 2014.
link   bibtex  
Codimension-2 border collision bifurcations in one-dimensional discontinuous piecewise smooth maps. Gardini, L.; Avrutin, V.; and Sushko, I. Int. J. Bifurcat. Chaos, 24(2): 1450024. 2014.
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Continuous-time linear MPC algorithms based on relaxed logarithmic barrier functions. Feller, C.; and Ebenbauer, C. In Proc.\ 19th IFAC World Congress, pages 2481-2488, Cape Town, South Africa, 2014.
link   bibtex  
Barrier function based linear model predictive control with polytopic terminal sets. Feller, C.; and Ebenbauer, C. In Proc.\ 53rd IEEE Conf.\ Decision and Control (CDC), pages 6683-6688, Los Angeles, CA, USA, 2014.
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Dynamics in Braess paradox with non-impulsive commuters. Dal Forno, A.; Merlone, U.; and Avrutin, V. Discrete Dynamics in Nature and Society, 2014: Article ID 345795, 13 pages. 2014.
link   bibtex  
A Polyhedral Approximation Framework for Convex and Robust Distributed Optimization. Bürger, M.; Notarstefano, G.; and Allgöwer, F. IEEE Transactions on Automatic Control, 59(2): 384-395. 2014.
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An Internal Model Approach to (Optimal) Frequency Regulation in Power Grids. Bürger, M.; De Persis, C.; and Trip, S. In Proc.\ 21st Int.\ Symp.\ Mathematical Theory of Networks and Systems (MTNS), pages 577-583, Groningen, The Netherlands, 2014.
link   bibtex  
Dynamic Pricing Control for Constrained Distribution Networks with Storage. Bürger, M.; De Persis, C.; and Allgöwer, F. IEEE Trans.\ Control of Network Systems, 2(1): 88-97. 2014.
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Optimal Pricing Control in Distribution Networks With Time-varying Supply and Demand. Bürger, M.; De Persis, C.; and Allgöwer, F. In Proc.\ 21st Int.\ Symp.\ Mathematical Theory of Networks and Systems (MTNS), pages 584-591, Groningen, The Netherlands, 2014.
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Further Results About Dynamic Coupling for Nonlinear Output Agreement. Bürger, M.; and De Persis, C. In Proc.\ 53rd IEEE Conf.\ Decision and Control (CDC), pages 1353-1358, Los Angeles, CA, USA, 2014.
link   bibtex  
Computation of piecewise affine terminal cost functions for model predictive control. Brunner, F. D.; Lazar, M.; and Allgöwer, F. In Proc.\ 17th Int.\ Conf. Hybrid Systems: Computation and Control (HSCC), pages 1-10, Berlin, Germany, 2014.
link   bibtex  
Robust Self-Triggered MPC for Constrained Linear Systems. Brunner, F. D.; Heemels, W. P. M. H.; and Allgöwer, F. In Proc.\ European Control Conf.\ (ECC), pages 472-477, Strasbourg, France, 2014.
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Approximate Predictive Control of Polytopic Systems. Brunner, F. D.; and Allgöwer, F. In Proc.\ 19th IFAC World Congress, pages 11060–11066, Cape Town, South Africa, 2014.
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On the stabilizability of continuous-time systems over a packet based communication system with loss and delay. Blind, R.; and Allgöwer, F. In Proc.\ 19th IFAC World Congress, pages 6466-6471, Cape Town, South Africa, 2014.
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Optimization of the Communication System for Networked Control Systems. Blind, R. Ph.D. Thesis, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2014.
link   bibtex  
Tube-based Robust Economic Model Predictive Control. Bayer, F.; Müller, M. A.; and Allgöwer, F. J.\ Proc.\ Contr., 24(8): 1237-1246. 2014.
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Set-based Disturbance Attenuation in Economic Model Predictive Control. Bayer, F.; Müller, M. A.; and Allgöwer, F. In Proc.\ 19th IFAC World Congress, pages 1898 - 1903, Cape Town, South Africa, 2014.
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Robust Economic Model Predictive Control with Linear Average Constraints. Bayer, F.; and Allgöwer, F. In Proc.\ 53rd IEEE Conf.\ Decision and Control (CDC), pages 6707-6712, Los Angeles, CA, USA, 2014.
link   bibtex  
Bifurcation structure in a bimodal piecewise linear business cycle model. Avrutin, V.; Sushko, I; and Tramontana, F. Abstract and Applied Analysis, 2014: Article ID 401319, 12 pages. 2014.
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Cyclicity of chaotic attractors in one-dimensional discontinuous maps. Avrutin, V.; Sushko, I.; and Gardini, L. Mathematics and Computers in Simulation (Special Issue ``Discontinuous Dynamical Systems: Theory and Numerical Methods''), 95: 126-136. 2014.
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Bifurcations of chaotic attractors in one-dimensional piecewise smooth maps. Avrutin, V; Gardini, L; Schanz, M.; and Sushko, I. Int. J. Bifurcat. Chaos, 24(8): 1440012. 2014.
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Bandcount incrementing scenario revisited and floating regions within robust chaos. Avrutin, V.; Eckstein, B.; Schanz, M.; and Schenke, B. Mathematics and Computers in Simulation (Special Issue ``Discontinuous Dynamical Systems: Theory and Numerical Methods''), 95: 23-38. 2014.
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  2013 (54)
Performance and design of cycles in consensus networks. Zelazo, D.; Schuler, S.; and Allgöwer, F. Syst.\ Contr.\ Lett., 62(1): 85-96. 2013.
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A Finite-Time Dual Method For Negotiation Between Dynamical Systems. Zelazo, D.; Bürger, M.; and Allgöwer, F. SIAM J.\ Control Optim., 51(1): 172-194. 2013.
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Dynamic negotiation under switching communication. Zelazo, D.; Bürger, M.; and Allgöwer, F. In Hüper, K.; and Trumpf, J., editor(s), Mathematical Systems Theory - Festschrift in Honor of Uwe Helmke on the Occasion of his Sixtieth Birthday, pages 479-500. CreateSpace, 2013.
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Tube MPC scheme based on robust control invariant set with application to Lipschitz nonlinear systems. Yu, S.; Maier, C.; Chen, H.; and Allgöwer, F. Syst.\ Contr.\ Lett., 62(2): 194-200. 2013.
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Leaderless synchronization of linear multi-agent systems under directed switching topologies: an invariance approach. Wu, J.; Qin, J.; Yu, B.; and Allgöwer, F. In Proc.\ 52nd IEEE Conf.\ Decision and Control (CDC), pages 6043-6048, Florence, Italy, 2013.
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On synchronous steady states and internal models of diffusively coupled systems. Wieland, P.; Wu, J.; and Allgöwer, F. IEEE Trans.\ Automat.\ Control, 58(10): 2591-2602. 2013.
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Modeling sphingomyelin synthase 1 driven reaction at the Golgi apparatus can explain data by inclusion of a positive feedback mechanism. Thomaseth, C.; Weber, P.; Hamm, T.; Kashima, K.; and Radde, N. Workshop on Computational Models in Biology and Medicine, October 2013.
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Modeling sphingomyelin synthase 1 driven reaction at the Golgi apparatus can explain data by inclusion of a positive feedback mechanism. Thomaseth, C.; Weber, P.; Hamm, T.; Kashima, K.; and N., R. J.\ Theor.\ Biol., 337: 174-180. 2013.
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Event-based Broadcasting for Multi-agent Average Consensus. Seyboth, G.; Dimarogonas, D. V.; and Johansson, K. H. Automatica, 49(1): 245-252. 2013.
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Clock Synchronization over Directed Graphs. Seyboth, G.; and Allgöwer, F. In Proc.\ 52nd IEEE Conf.\ Decision and Control (CDC), pages 6105-6111, Florence, Italy, 2013.
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Robust Design of Sparse Relative Sensing Networks. Schuler, S.; Zelazo, D.; and Allgöwer, F. In Proc.\ European Control Conference (ECC), pages 1860-1865, Zurich, Switzerland, 2013.
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$\ell_1$-Optimal Control of Large Wind Turbines. Schuler, S.; Schlipf, D.; Cheng, P. W.; and Allgöwer, F. IEEE Trans. Cont. Sys. Tech., 21(4): 1079-1089. 2013.
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Global Output Regulation for the Rotational Dynamics of a Rigid Body. Schmidt, G. S. A. M.; and Simon AND Ebenbauer, C. A. A. at - Automatisierungstechnik, 61(8): 567–581. 2013.
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Output regulation for attitude control: a global approach. Schmidt, G. S.; Ebenbauer, C.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 5251-5256, Washington, D.C., USA, 2013.
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Synchronization of Oscillators and Global Output Regulation for Rigid Body Systems. Schmidt, G. S. Ph.D. Thesis, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2013.
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Generalization of the construction method for multistability-equivalent gene regulatory networks to systems with multi-input multi-output loopbreaking. Schittler, D.; Jouini, T.; Allgöwer, F.; and Waldherr, S. Technical Report arXiv:1312.7250v2, 2013.
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Multistability equivalence between gene regulatory networks of different dimensionality. Schittler, D.; Allgöwer, F.; and Waldherr, S. In Proc.\ European Control Conf.\ (ECC), pages 3640-3645, Zurich, Switzerland, 2013.
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A new model to simulate and analyze proliferating cell populations in BrdU labeling experiments. Schittler, D.; Allgöwer, F.; and De Boer, R. J. BMC Systems Biology (Suppl.: Selected articles from the 10th International Workshop on Computational Systems Biology (WSCB) 2013), 7(Suppl 1):S4. 2013.
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Control over Erasure Channels: Stochastic Stability and Performance of Packetized Unconstrained Model Predictive Control. Reble, M.; Quevedo, D. E.; and Allgöwer, F. Int.\ J.\ Robust and Nonlinear Control, 23(10): 1151-1167. 2013.
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Model Predictive Control for Nonlinear Continuous-Time Systems with and without Time-Delays. Reble, M. Ph.D. Thesis, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2013.
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Norm-controllability, or how a nonlinear system responds to large inputs. Müller, M. A.; Liberzon, D.; and Allgöwer, F. In Proc.\ 9th IFAC Symp.\ Nonlinear Control Systems (NOLCOS), pages 104-109, 2013.
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On convergence of averagely constrained economic MPC and necessity of dissipativity for optimal steady-state operation. Müller, M. A.; Angeli, D.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 3147-3152, 2013.
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Economic model predictive control with self-tuning terminal cost. Müller, M. A.; Angeli, D.; and Allgöwer, F. European J.\ Control, 19(5): 408-416. 2013.
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Economic model predictive control with self-tuning terminal weight. Müller, M. A.; Angeli, D.; and Allgöwer, F. In Proc.\ European Control Conf.\ (ECC), pages 2044-2049, Zurich, Switzerland, 2013.
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Economic model predictive control with transient average constraints. Müller, M. A.; Angeli, D.; and Allgöwer, F. In Proc.\ 52nd IEEE Conf.\ Decision and Control (CDC), pages 5119-5124, Florence, Italy, 2013.
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Practical Cluster Synchronization of Heterogeneous Systems on Graphs with Acyclic Topology. Montenbruck, J. M.; Bürger, M.; and Allgöwer, F. In Proc.\ 52nd IEEE Conf.\ on Decision and Control (CDC), pages 692-697, Florence, Italy, 2013.
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Practical and Robust Synchronization of Systems with Additive Linear Uncertainties. Montenbruck, J.; Seyboth, G. S.; and Allgöwer, F. In Proc.\ 9th IFAC Symp.\ Nonlinear Control Systems (NOLCOS), pages 743-748, Toulouse, France, 2013.
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Swinging up the Stephenson-Kapitza pendulum. Michalowsky, S.; and Ebenbauer, C. In Proc.\ 52nd IEEE Conf.\ Decision and Control (CDC), pages 3981-3987, Florence, Italy, 2013.
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A Distributed Solution to the Adjustable Robust Economic Dispatch Problem. Lorenzen, M.; Bürger, M.; Notarstefano, G.; and Allgöwer, F. In Proc.\ 4th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), pages 75-80, 2013.
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Multi-scale modeling reveals membrane domain variations as mechanism behind augmented ErbB receptor activation. Kuritz, K.; Radde, N.; and Olayioye, M. 2013.
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Scientific workflows for bone remodelling simulations. Krause, R.; Allgöwer, F.; Dimka, K.; Leymann, F.; Markert, B.; Mitschang, B.; Reimann, P.; Reiter, M.; Schittler, D.; Schmitt, S.; Waldherr, S.; and Ehlers, W. Proceedings in Applied Mathematics and Mechanics. 2013.
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Modeling and parameter estimation for heterogeneous cell populations. Hasenauer, J. Ph.D. Thesis, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2013.
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Obtaining and employing state dependent parametrizations of prespecified complexity in constrained MPC. Goebel, G.; and Allgöwer, F. In Proc.\ 52nd IEEE Conf.\ Decision and Control (CDC), pages 7077-7082, Florence, Italy, 2013.
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An improved algorithm for combinatorial multi-parametric quadratic programming. Feller, C.; Johansen, T. A.; and Olaru, S. Automatica, 49(5): 1370-1376. 2013.
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Explicit MPC of higher-order linear processes via combinatorial multi-parametric programming. Feller, C.; and Johansen, T. A. In Proc.\ European Control Conf.\ (ECC), pages 536-541, Zurich, Switzerland, 2013.
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A barrier function based continuous-time algorithm for linear model predictive control. Feller, C.; and Ebenbauer, C. In Proc.\ European Control Conf.\ (ECC), pages 19-26, Zurich, Switzerland, 2013.
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Ein zeitkontinuierlicher Optimierungsalgorithmus für die modellprädiktive Regelung linearer Systeme. Feller, C.; and Ebenbauer, C. In Proc.\ 18. Steirisches Seminar über Regelungstechnik und Prozessautomatisierung, pages 1-28, Leibnitz, Austria, 2013.
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Saddle Point Seeking for Convex Optimization Problems. Dürr, H. B.; Zeng, C.; and Ebenbauer, C. In Proc.\ 9th IFAC Symp.\ Nonlinear Control Systems (NOLCOS), pages 540-545, Toulouse, France, 2013.
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Lie Bracket Approximation of Extremum Seeking Systems. Dürr, H. B.; Stankovic, M. S.; Ebenbauer, C.; and Johansson, K. H. Automatica, 49(6): 1538-1552. 2013.
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Obstacle Avoidance for an Extremum Seeking System using a Navigation Function. Dürr, H. B.; Stankovic, M. S.; Dimarogonas, D. V.; Ebenbauer, C.; and Johansson, K. H. In Proc.\ American Control Conf.\ (ACC), pages 4068-4073, Washington, D.C., USA, 2013.
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Hierarchical Clustering of Dynamical Networks Using a Saddle-Point Analysis. Bürger, M.; Zelazo, D.; and Allgöwer, F. IEEE Trans.\ Automat.\ Control, 58(1): 113-124. 2013.
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From Non-cooperative to Cooperative Distributed MPC: A Simplicial Approximation Perspective. Bürger, M.; Notarstefano, G.; and Allgöwer, F. In Proc.\ European Control Conf.\ (ECC), pages 2795-2800, Zurich, Switzerland, 2013.
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Internal Models for nonlinear output agreement and optimal flow control. Bürger, M.; and De Persis, C. In Proc.\ 9th IFAC Symp.\ Nonlinear Control Systems (NOLCOS), pages 289-294, Toulouse, France, 2013.
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On the Steady-State Inverse-Optimality of Passivity-based Cooperative Control. Bürger, M.; D., Z.; and Allgöwer, F. In Proc.\ 4th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), pages 138 - 143, Koblenz, 2013.
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Duality and Approximation Methods for Cooperative Optimization and Control. Bürger, M. Ph.D. Thesis, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2013.
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Stabilizing Linear Model Predictive Control: On the Enlargement of the Terminal Set. Brunner, F. D.; Lazar, M.; and Allgöwer, F. In Proc.\ European Control Conf.\ (ECC), pages 511-517, Zurich, Switzerland, 2013.
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An Explicit Solution to Constrained Stabilization via Polytopic Tubes. Brunner, F. D.; Lazar, M.; and Allgöwer, F. In Proc.\ 52nd IEEE Conf.\ Decision and Control (CDC), pages 7721-7727, Florence, Italy, 2013.
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A linear reformulation of Boolean optimization problems and structure identification of gene regulation networks. Breindl, C; Chaves, M; and Allgöwer, F In Proc.\ 52nd IEEE Conf.\ Decision and Control (CDC), pages 733–738, 2013.
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Retransmitting Lost Measurements to Improve Remote Estimation. Blind, R.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 4154-4158, Washington, D.C., USA, 2013.
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On the Optimization of the Transport Layer for Networked Control Systems. Blind, R.; and Allgöwer, F at-Automatisierungstechnik, 61(7): 495-505. 2013.
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On the Joint Design of Controller and Routing for Networked Control Systems. Blind, R.; and Allgöwer, F In Proc.\ 4th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), pages 240 - 246, Koblenz, Germany, 2013.
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On Time-Triggered and Event-Based Control of Integrator Systems over a Shared Communication System. Blind, R.; and Allgöwer, F Mathematics of Control, Signals, and Systems, 25(4): 517-557. 2013.
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A Projected SQP Method for Nonlinear Optimal Control with Quadratic Convergence. Bayer, F.; Notarstefano, G.; and Allgöwer, F. In Proc.\ 52nd IEEE Conf.\ Decision and Control (CDC), pages 6463-6468, Florence, Italy, 2013.
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Discrete-time Incremental ISS: A Framework for Robust NMPC. Bayer, F.; Bürger, M.; and Allgöwer, F. In Proc.\ European Control Conf.\ (ECC), pages 2068-2073, Zurich, Switzerland, 2013.
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  2012 (53)
Cycles and Sparse Design of Consensus Networks. Zelazo, D.; Schuler, S.; and Allgöwer, F. In Proc.\ 51st IEEE Conf.\ Decision and Control (CDC), pages 3808-3813, Maui, HI, USA, 2012.
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Rigidity Maintenance Control for Multi-robot Systems. Zelazo, D.; Franchi, A.; Allgöwer, F.; Bülthoff, H.; and Robuffo Giordano, P. In Proc.\ Robotics: Science and Systems, Sydney, Australia, 2012.
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An energy management system for off-grid power systems. Zelazo, D.; Dai, R.; and Mesbahi, M. Energy Systems, 3(2): 153–179. 2012.
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Growing Optimally Rigid Formations. Zelazo, D.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 3901-3906, Montreal, Canada, 2012.
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Eulerian Consensus Networks. Zelazo, D.; and Allgöwer, F. In Proc.\ 51st IEEE Conf.\ Decision and Control (CDC), pages 4715-4720, Maui, HI, USA, 2012.
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Model predictive control of constrained LPV systems. Yu, S.; Böhm, C.; Chen, H.; and Allgöwer, F. Int.\ J.\ Control, 85(6): 671-683. 2012.
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A Constructive Approach to Synchronization Using Relative Information. Wu, J.; and Allgöwer, F. In Proc.\ 51st IEEE Conf.\ Decision and Control (CDC), pages 5960-5965, Maui, HI, USA, 2012.
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Trajectory-oriented Bayesian experiment design versus Fisher A-optimal design: an in depth comparison study. Weber, P.; Kramer, A.; Dingler, C.; and Radde, N. Bioinformatics, 28(18): i535-i541. 2012.
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Set based uncertainty analysis and parameter estimation of biological networks with the BioSDP toolbox. Waldherr, S.; Hasenauer, J.; and Allgöwer, F. In Proc.\ 9th Int.\ Workshop on Computational Systems Biology (WCSB), Ulm, Germany, 2012.
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Cellular heterogeneity in neuronal pain sensing. Waldherr, S.; Buschow, R.; Isensee, J.; Allgöwer, F.; and Hucho, T. Conference on Systems Biology of the Mammalian Cell (SBMC), 2012.
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Robustness and adaptation of biological networks under kinetic perturbations. Waldherr, S.; Allgöwer, F.; Jacobsen, E. W.; and Streif, S. In Allgöwer, F.; Blondel, V.; and Helmke, U., editor(s), Control Theory: Mathematical Perspectives on Complex Networked Systems, of Oberwolfach Reports, pages 62-63. Mathematisches Forschungsinstitut Oberwolfach, Oberwolfach, Germany, 2012.
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Cooperative Control of Linear Parameter-Varying Systems. Seyboth, G.; Schmidt, G. S.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 2407-2412, Montreal, Canada, 2012.
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Output Synchronization of Linear Parameter-varying Systems via Dynamic Couplings. Seyboth, G.; Schmidt, G. S.; and Allgöwer, F. In Proc.\ 51st IEEE Conf.\ Decision and Control (CDC), pages 5128-5133, Maui, HI, USA, 2012.
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Static Diffusive Couplings in Heterogeneous Linear Networks. Seyboth, G.; Dimarogonas, D. V.; Johansson, K. H.; and Allgöwer, F. In Proc.\ 3rd IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), pages 258-263, Santa Barbara, CA, USA, 2012.
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Design of Sparse Relative Sensing Networks. Schuler, S.; Zelazo, D.; and Allgöwer, F. In Proc.\ 51st IEEE Conf.\ Decision and Control (CDC), pages 2749-2754, Maui, HI, USA, 2012.
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Decentralized State Feedback Control for Interconnected Process Systems. Schuler, S.; Münz, U.; and Allgöwer, F. In Proc.\ 8th IFAC Symposium on Advanced Control of Chemical Processes (AdChem), pages 1-10, Singapore, 2012.
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A solution for a class of output regulation problems on SO(n). Schmidt, G. S.; Ebenbauer, C.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 1773-1779, Montreal, Canada, 2012.
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Towards a dynamical model of gene regulation in mesenchymal stem cell differentiation. Schittler, D.; Vacun, G.; Walles, H.; Hansmann, J.; Allgöwer, F.; and Waldherr, S. 4th Conf. Syst. Biol. Mammalian Cells (SBMC 2012), Leipzig, Germany, 2012.
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A model for proliferating cell populations that accounts for cell types. Schittler, D.; Hasenauer, J.; and Allgöwer, F. In Larjo, A.; Schober, S.; Farhan, M.; Bossert, M.; and Yli-Harja, O., editor(s), Proc.\ 9th Int.\ Workshop on Computational Systems Biology (WCSB), of TICSP series # 61, pages 84-87, Ulm, Germany, 2012. Tampere International Center for Signal Processing
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A Unifying Framework for Stability in MPC using a Generalized Integral Terminal Cost. Reble, M.; Quevedo, D. E.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 1211-1216, Montreal, Canada, 2012.
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Improved Stability Conditions for Unconstrained Nonlinear Model Predictive Control by using Additional Weighting Terms. Reble, M.; Quevedo, D. E.; and Allgöwer, F. In Proc.\ 51st IEEE Conf.\ Decision and Control (CDC), pages 2625-2630, Maui, HI, USA, 2012.
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Unconstrained Model Predictive Control and Suboptimality Estimates for Nonlinear Continuous-Time Systems. Reble, M.; and Allgöwer, F. Automatica, 48(8): 1812-1817. 2012.
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Design of Terminal Cost Functionals and Terminal Regions for Model Predictive Control of Nonlinear Time-Delay Systems. Reble, M.; and Allgöwer, F. In Sipahi, R.; Vyhlidal, T.; Pepe, P.; and Niculescu, S., editor(s), Time Delay Systems: Methods, Applications and New Trends, volume 423, of Lecture Notes in Control and Information Sciences, pages 355-366. Springer Berlin / Heidelberg, 2012.
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Analyzing fixed points of intracellular regulation networks with complex feedback topology. Radde, N. BMC Sys. Biol., 6(57). 2012.
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Identification of feedback circuits that are connected to multiple fixed points in biological networks. Radde, N. In Proc.\ 8th Int.\ Workshop on Computational Systems Biology (WCSB), pages 59-62, Ulm, Germany, June 2012.
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3D Modelling of Vascular Network Formation by an Overlapping-Sphere Approach. Perfahl, H.; Owen, M. R.; Alarcon, T.; Maini, P. K.; Byrne, H. M.; and Reuss, M. Poster, 2012. CMMB-Conference: Multiscale Modelling in Medicine and Biology
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Multiscale Modelling of TRAIL Therapy Applied to Multicellular Spheroids. Perfahl, H.; Bronikowski, A.; Doszczak, M.; Scheurich, P.; and Reuss, M. Poster, 2012. Conference of Systems Biology of Mammalian Cells (SBMC)
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Robust cooperative control of dynamically decoupled systems via distributed MPC. Müller, M. A.; Schürmann, B.; and Allgöwer, F. In Proc.\ IFAC Conf.\ Nonlinear Model Predictive Control (NMPC), pages 412-417, Noordwijkerhout, The Netherlands, 2012.
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Cooperative control of dynamically decoupled systems via distributed model predictive control. Müller, M. A.; Reble, M.; and Allgöwer, F. Int.\ J.\ Robust and Nonlinear Control, 22(12): 1376-1397. 2012.
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Model predictive control of switched nonlinear systems under average dwell-time. Müller, M. A.; Martius, P.; and Allgöwer, F. J.\ Proc.\ Contr., 22(9): 1702-1710. 2012.
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Relaxed conditions for norm-controllability of nonlinear systems. Müller, M. A.; Liberzon, D.; and Allgöwer, F. In Proc.\ 51st IEEE Conf.\ Decision and Control (CDC), pages 314-319, Maui, HI, USA, 2012.
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Input/output-to-state stability and state-norm estimators for switched nonlinear systems. Müller, M. A.; and Liberzon, D. Automatica, 48(9): 2029-2039. 2012.
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Fault coverage modeling in nonlinear dynamical systems. Müller, M. A.; and Dominguez-Garcia, A. D. Automatica, 48(7): 1372-1379. 2012.
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Improving performance in model predictive control: Switching cost functionals under average dwell-time. Müller, M. A.; and Allgöwer, F. Automatica, 48(2): 402-409. 2012.
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Robustness of steady-state optimality in economic model predictive control. Müller, M. A.; and Allgöwer, F. In Proc.\ 51st IEEE Conf.\ Decision and Control (CDC), pages 1011-1016, Maui, HI, USA, 2012.
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Remodelling Processes in Bone: A Biphasic Porous Media Model. Krause, R; Schittler, D.; Waldherr, S.; Allgöwer, F.; Markert, B.; and Ehlers, W. Proceedings in Applied Mathematics and Mechanics, 12(1): 131-132. 2012.
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Analysis and simulation of division- and label-structured population models. Hasenauer, J.; Schittler, D.; and Allgöwer, F. Bulletin of Mathematical Biology, 74(11): 2692-2732. 2012.
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Dynamical optimization using reduced order models: A method to guarantee performance. Hasenauer, J.; Löhning, M.; Khammash, M.; and Allgöwer, F. J.\ Proc.\ Contr., 22(8): 1490-1501. 2012. available online doi: 10.1016/j.jprocont.2012.01.017
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A visual analytics approach for models of heterogeneous cell populations. Hasenauer, J.; Heinrich, J.; Doszczak, M.; Scheurich, P.; Weiskopf, D.; and Allgöwer, F. EURASIP J.\ Bioinformatics and Systems Biology, 2012(2012): 4. 2012. available online doi:10.1186/1687-4153-2012-4
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Combinatorial multi-parametric quadratic programming with saturation matrix based pruning. Feller, C.; Johansen, T. A.; and Olaru, S. In Proc.\ 51st IEEE Conf.\ Decision and Control (CDC), pages 4562-4567, Maui, HI, USA, 2012.
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A Smooth Vector Field for Quadratic Programming. Dürr, H. B.; Saka, E.; and Ebenbauer, C. In Proc.\ 51st IEEE Conf.\ Decision and Control (CDC), pages 2515-2520, Maui, HI, USA, 2012.
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On a Class of Smooth Optimization Algorithms with Applications in Control. Dürr, H. B.; and Ebenbauer, C. In Proc.\ IFAC Conf.\ Nonlinear Model Predictive Control (NMPC), pages 291-298, Noordwijkerhout, The Netherlands, 2012.
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Death wins against life in a spatially extended model of the caspase-3/8 feedback loop. Daub, M.; Waldherr, S.; Allgöwer, F.; Scheurich, P.; and Schneider, G. Biosystems, 108: 45-51. 2012.
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Exact Convex Formulations of Network-Oriented Optimal Operator Placement. Carabelli, B. W.; Benzing, A.; Seyboth, G.; Blind, R.; Bürger, M.; Dürr, F.; Koldehofe, B.; Rothermel, K.; and Allgöwer, F. In Proc.\ 51st IEEE Conf.\ Decision and Control (CDC), pages 3777-3782, Maui, HI, USA, 2012.
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Combinatorial Insights and Robustness Analysis for Clustering in Dynamical Networks. Bürger, M.; Zelazo, D.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 454-459, Montreal, Canada, 2012.
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A distributed simplex algorithm for degenerate linear programs and multi-agent assignments. Bürger, M.; Notarstefano, G.; Bullo, F.; and Allgöwer, F. Automatica, 48(9): 2298-2304. 2012.
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Distributed Robust Optimization via Cutting-Plane Consensus. Bürger, M.; Notarstefano, G.; and Allgöwer, F. In Proc.\ 51st IEEE Conf.\ Decision and Control (CDC), pages 7457-7463, Maui, HI, USA, 2012.
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Stability of periodically time-varying systems: Periodic Lyapunov functions. Böhm, C.; Lazar, M.; and Allgöwer, F. Automatica, 48(10): 2663-2669. 2012.
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Feedback Design for Multi-Agent Systems: A Saddle Point Approach. Brunner, F. D.; Dürr, H. B.; and Ebenbauer, C. In Proc.\ 51st IEEE Conf.\ Decision and Control (CDC), pages 3783-3789, Maui, HI, USA, 2012.
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Structure estimation for unate Boolean models of gene regulation networks. Breindl, C.; Chaves, M.; Gouzé, J.; and Allgöwer, F. In Proc.\ 16th IFAC Symp.\ System Identification (SYSID), pages 1725–1730, Brussels, Belgium, 2012.
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Is it Worth to Retransmit Lost Packets in Networked Control Systems?. Blind, R.; and Allgöwer, F. In Proc.\ 51th IEEE Conf.\ Decision and Control (CDC), pages 1368-1373, Maui, HI, USA, 2012.
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The Performance of Event-Based Control for Scalar Systems with Packet Losses. Blind, R.; and Allgöwer, F. In Proc.\ 51th IEEE Conf.\ Decision and Control (CDC), pages 6572-6576, Maui, HI, USA, 2012.
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Trajectory Optimization for Vehicles in a Constrained Environment. Bayer, F.; and Hauser, J. In Proc.\ 51st IEEE Conf.\ Decision and Control (CDC), pages 5625-5630, Maui, HI, USA, 2012.
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  2011 (70)
Edge Agreement: Graph-Theoretic Performance Bounds and Passivity Analysis. Zelazo, D.; and Mesbahi, M. IEEE Trans.\ Autom.\ Control, 56(3): 554-555. 2011.
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Graph-Theoretic Analysis and Synthesis of Relative Sensing Networks. Zelazo, D.; and Mesbahi, M. IEEE Trans.\ Autom.\ Control, 56(5): 971-982. 2011.
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A Distributed Real-Time Algorithm for Preference-Based Agreement. Zelazo, D.; Bürger, M.; and Allgöwer, F. In Proc.\ 18th IFAC World Congress, pages 8933-8938, Milano, Italy, 2011.
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Inherent robustness properties of quasi-infinite horizon NMPC. Yu, S.; Reble, M.; Chen, H.; and Allgöwer, F. In Proc.\ 18th IFAC World Congress, pages 179-184, Milano, Italy, 2011.
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Tube MPC scheme based on robust control invariant set with application to Lipschitz nonlinear systems. Yu, S.; Chen, H.; and Allgöwer, F. In Proc.\ 50th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC), pages 2650-2655, Orlando, FL, USA, 2011.
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Robust Model Predictive Control of Constrained Systems. Yu, S. Ph.D. Thesis, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2011.
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An internal model principle is necessary and sufficient for linear output synchronization. Wieland, P.; Sepulchre, R.; and Allgöwer, F. Automatica, 47(5): 1068-1074. 2011.
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Parameter estimation and identifiability of biological networks using relative data. Weber, P.; Hasenauer, J.; Allgöwer, F.; and Radde, N. In Proc.\ 18th IFAC World Congress, pages 11648-11653, Milano, Italy, 2011.
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Global uncertainty analysis for a model of TNF-induced NF-$κ$B signalling. Waldherr, S.; Hasenauer, J.; Doszczak, M.; Scheurich, P.; and Allgöwer, F. In Levine, J.; and Müllhaupt, P., editor(s), Advances in the Theory of Control, Signals and Systems with Physical Modeling, volume 407, of Lecture Notes in Control and Information Sciences, pages 365–377. Springer Berlin / Heidelberg, 2011.
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Bifurcation search via feedback loop breaking in biochemical signaling pathways with time delay. Waldherr, S.; Dylus, D.; and Allgöwer, F. Asian J.\ Control, 13(5): 691–700. 2011.
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Robustness analysis of biomolecular networks via polynomial programming. Waldherr, S.; and Allgöwer, F. SIAM Conference on Optimization, 5 2011.
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Robust stability and instability of biochemical networks with parametric uncertainty. Waldherr, S.; and Allgöwer, F. Automatica, 47: 1139-1146. 2011.
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Reliable ovarian follicle development through a stochastic bistable switch with cell-cell interactions. Waldherr, S.; and Allgöwer, F. 12th International Conference on Systems Biology (ICSB), 2011.
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Robust Signal Processing in Living Cells. Steuer, R.; Waldherr, S.; Sourjik, V.; and Kollmann, M. PLoS Comp. Biol., 7(11): e1002218. 2011. doi:10.1371/journal.pcbi.1002218
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Control of Multi-Agent Systems via Event-based Communication. Seyboth, G.; Dimarogonas, D. V.; and Johansson, K. H. In Proc.\ 18th IFAC World Congress, pages 10086-10091, Milan, Italy, 2011.
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Design of Structured Dynamic Output Feedback Controllers for Interconnected Systems. Schuler, S.; Li, P.; Lam, J.; and Allgöwer, F. Int.\ J.\ Control, 84(12): 2081–2091. 2011.
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Design of Structured Static Output Feedback Controllers. Schuler, S.; Gruhler, M. D.; Münz, U.; and Allgöwer, F. In Proc.\ 18th IFAC World Congress, pages 271-276, Milano, Italy, 2011.
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$\ell_0$-System Gain and $\ell_1$-Optimal Control. Schuler, S.; Ebenbauer, C.; and Allgöwer, F. In Proc.\ 18th IFAC World Congress, pages 9230-9235, Milano, Italy, 2011.
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Maximally Permissive Hierarchical Control of Decentralized Discrete Event Systems. Schmidt, K.; and Breindl, C. IEEE Trans.\ Autom.\ Control, 56(4): 723 - 737. 2011.
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Observability Properties of the Periodic Toda Lattice. Schmidt, G. S.; Ebenbauer, C.; and Allgöwer, F. In Proc.\ 9th IEEE Int.\ Conf.\ Control and Automation, pages 704-709, Santiago, Chile, 2011.
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Heterogeneity Reduces Sensitivity of Cell Death for TNF-Stimuli. Schliemann, M.; Bullinger, E.; Borchers, E.; Allgöwer, F.; Findeisen, R.; and Scheurich, P. BMC Sys. Biol., 5(1): 204. 2011.
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Modeling gene regulatory networks of mesenchymal stem cell differentiation. Schittler, D.; Vacun, G.; Hansmann, J.; Allgöwer, F.; and Waldherr, S. 12th International Conference on Systems Biology, Heidelberg/Mannheim, August 2011. abstract, talk
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A generalized population model for cell proliferation: Integrating division numbers and label dynamics. Schittler, D.; Hasenauer, J.; and Allgöwer, F. In Köppel, H.; Aćimović, J.; Kesselin, J.; and Mäki-Marttunen, T., editor(s), Proc.\ 8th Int.\ Workshop on Computational Systems Biology (WCSB), of TICSP series # 57, pages 165-168, Zürich, Switzerland, 2011. Tampere International Center for Signal Processing
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Model selection of networks that are robust against kinetic uncertainties. Schittler, D.; Breindl, C.; and Allgöwer, F. 8th European Conference on Mathematical and Theoretical Biology, Krakow, June 2011. abstract, talk
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Stochastic Stability and Performance Estimates of Packetized Unconstrained Model Predictive Control for Networked Control Systems. Reble, M.; Quevedo, D. E.; and Allgöwer, F. In Proc.\ 9th IEEE Int.\ Conf.\ Control and Automation, pages 171-176, Santiago, Chile, 2011.
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Unconstrained Model Predictive Control and Suboptimality Estimates for Nonlinear Time-Delay Systems. Reble, M.; Müller, M. A.; and Allgöwer, F. In Proc.\ 50th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC), pages 7599-7604, Orlando, FL, USA, 2011.
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Model Predictive Control of Constrained Nonlinear Time-Delay Systems. Reble, M.; Esfanjani, R. M.; Nikravesh, S. K. Y.; and Allgöwer, F. IMA J.\ of Mathematical Control and Information, 28(2): 183-201. 2011.
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Model Predictive Control for Nonlinear Time-Delay Systems without Terminal Constraint. Reble, M.; Brunner, F. D.; and Allgöwer, F. In Proc.\ 18th IFAC World Congress, pages 9254-9259, Milano, Italy, 2011.
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Unconstrained Nonlinear Model Predictive Control and Suboptimality Estimates for Continuous-Time Systems. Reble, M.; and Allgöwer, F. In Proc.\ 18th IFAC World Congress, pages 6733-6738, Milan, Italy, 2011.
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The role of feedback mechanisms in biological network models - A tutorial. Radde, N. Asian J.\ Control, 13(5): 1-14. 2011.
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Robust Consensus Controller Design for Nonlinear Relative Degree Two Multi-Agent Systems With Communication Constraints. Münz, U.; Papachristodoulou, A.; and Allgöwer, F. IEEE Trans.\ Autom.\ Control, 56(1): 145-151. 2011.
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Consensus in Multi-Agent Systems with Coupling Delays and Switching Topology. Münz, U.; Papachristodoulou, A.; and Allgöwer, F. IEEE Trans.\ Autom.\ Control, 56(12): 2976-2982. 2011.
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A general distributed MPC framework for cooperative control. Müller, M. A.; Reble, M.; and Allgöwer, F. In Proc.\ 18th IFAC World Congress, pages 7987-7992, Milano, Italy, 2011.
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Distributed MPC for cooperative control. Müller, M. A.; Reble, M.; and Allgöwer, F. Abstract in Proc.\ International Conference on Simulation Technology, June 2011.
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On norm-controllabilty of nonlinear systems. Müller, M. A.; Liberzon, D.; and Allgöwer, F. In Proc.\ 50th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC), pages 1741-1746, Orlando, FL, USA, 2011.
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Model predictive control of switched nonlinear systems under average dwell-time. Müller, M. A.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 5169-5174, San Francisco, CA, USA, 2011.
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Predictive Control for Polynomial Systems Subject to State and Input Constraints. Maier, C.; Böhm, C.; Deroo, F.; and Allgöwer, F. at-Automatisierungstechnik, 59(8): 479–488. 2011.
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Optimierung mittels reduzierter Modelle mit garantierter Güte. Löhning, M.; Hasenauer, J.; Khammash, M.; and Allgöwer, F. In Tagungsband Workshop GMA-Fachausschuss 1.30 ``Modellbildung, Identifikation und Simulation in der Automatisierungstechnik'', 2011.
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Trajectory-based model reduction of nonlinear biochemical networks employing the observability normal form. Löhning, M.; Hasenauer, J.; and Allgöwer, F. In Proc.\ 18th IFAC World Congress, pages 10442-10447, Milano, Italy, 2011.
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Steady state stability preserving nonlinear model reduction using sequential convex optimization. Löhning, M.; Hasenauer, J.; and Allgöwer, F. In Proc.\ 50th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC), pages 7158-7163, Orlando, FL, USA, 2011.
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Optimal and optimal-linear control over lossy, distributed networks. Kögel, M.; Blind, R.; Allgöwer, F.; and Findeisen, R. In Proc.\ 18th IFAC World Congress, pages 13239-13244, Milano, Italy, 2011.
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Bone remodelling: A combined biomechanical and systems-biological challenge. Krause, R.; Schittler, D.; Reiter, M.; Waldherr, S.; Allgöwer, F.; Karastoyanova, D.; Leymann, F.; Markert, B.; and Ehlers, W. PAMM, 11(1): 99–100. 2011.
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Connection Profile Robustness in a Heterogeneous Network of Piecewise Affine FitzHugh-Nagumo Models. Kashima, K.; Papachristodoulou, A.; and Allgöwer, F. In Proc.\ SICE Annual Conf., pages 2093-2098, Tokyo, Japan, 2011.
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Nonlinear Predictive Control Based on Time-Domain Simulation for Automatic Landing. Joos, A.; Müller, M. A.; Baumgärtner, D.; Fichter, W.; and Allgöwer, F. In Proc.\ AIAA Guidance, Navigation, and Control Conf., volume 2, pages 1619-1633, Portland, OR, USA, 2011.
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From single-cell models to mechanicstic population descriptions - A modeling, simulation, and analysis framework. Hasenauer, J.; Waldherr, S.; Doszczak, M.; Scheurich, P.; Radde, N.; and Allgöwer, F. Abstract in Proc. International Conference on Simulation Technology, June 2011.
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Identification of models of heterogeneous cell populations from population snapshot data. Hasenauer, J.; Waldherr, S.; Doszczak, M.; Radde, N.; Scheurich, P.; and Allgöwer, F. BMC Bioinf., 12: 125. 2011.
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Analysis of heterogeneous cell populations: A density-based modeling and identification framework. Hasenauer, J.; Waldherr, S.; Doszczak, M.; Radde, N.; Scheurich, P.; and Allgöwer, F. J.\ Proc.\ Contr., 21(10): 1417-1425. 2011.
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Parameter estimation and uncertainty analysis for models of heterogeneous cell populations. Hasenauer, J.; Waldherr, S.; Doszczak, M.; Radde, N.; Scheurich, P.; and Allgöwer, F. In Proc.\ 12th Int.\ Conf.\ Systems Biology (ICSB), Heidelberg/Mannheim, Germany, 2011.
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Visualization methods and support vector machines as tools for determining markers in models of heterogeneous populations: Proapoptotic signaling as a case study. Hasenauer, J.; Heinrich, J.; Doszczak, M.; Scheurich, P.; Weiskopf, D.; and Allgöwer, F. In Köpple, H.; Aćimović, J.; Kesselin, J.; and Mäki-Marttunen, T., editor(s), Proc.\ 8th Int.\ Workshop on Computational Systems Biology (WCSB), of TICSP series # 57, pages 61-64, Zürich, Switzerland, 2011. Tampere International Center for Signal Processing
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Towards a multi-scale model for the therapeutic action of TRAIL in lung carcinoma. Hasenauer, J.; Erbertseder, K.; Doszczak, M.; Helmig, R.; Scheurich, P.; and Allgöwer, F. In Proc.\ 12th Int.\ Conf.\ Systems Biology (ICSB), Heidelberg/Mannheim, Germany, 2011.
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A threshold-free method for assessing the responsiveness of heterogeneous populations: DRG-neurons as a case study. Hasenauer, J.; Andres, C.; Hucho, T.; and Allgöwer, F. In Köpple, H.; Aćimović, J.; Kesselin, J.; and Mäki-Marttunen, T., editor(s), Proc.\ 8th Int.\ Workshop on Computational Systems Biology (WCSB), of TICSP series # 57, pages 209, Zürich, Switzerland, 2011. Tampere International Center for Signal Processing
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$\mathcal{L}_2$-Gain-based controller design for linear systems with distributed input delay. Goebel, G.; Münz, U.; and Allgöwer, F. IMA J.\ of Mathematical Control and Information, 28(2): 225-237. 2011.
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Ein nichtlineares System zum Lösen von Sattelpunktproblemen und Linearen Programmen. Dürr, H. B.; Zeng, S.; and Ebenbauer, C. In 17. Steirisches Seminar über Regelungstechnik und Prozessautomatisierung, 2011.
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Distributed Positioning of Autonomous Mobile Sensors with Application to the Coverage Problem. Dürr, H. B.; Stankovic, M.; and Johansson, K. H. In Proc.\ American Control Conf.\ (ACC), pages 4822-4827, San Francisco, CA, USA, 2011.
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A Lie Bracket Approximation for Extremum Seeking Vehicles. Dürr, H. B.; Stankovic, M.; and Johansson, K. H. In Proc.\ 18th IFAC World Congress, pages 11393-11398, Milano, Italy, 2011.
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A Smooth Vector Field for Saddle Point Problems. Dürr, H. B.; and Ebenbauer, C. In Proc.\ 50th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC), pages 4654-4660, Orlando, FL, USA, 2011.
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Offline NMPC for continuous-time systems using sum of squares. Deroo, F.; Maier, C.; Böhm, C.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 5163-5168, San Francisco, CA, USA, 2011.
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Model reduction of homogeneous-in-the-state bilinear systems with input constraints. Couchman, I.; Kerrigan, E.; and Böhm, C. Automatica, 47(4): 761-768. 2011.
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Network Clustering: A Dynamical Systems and Saddle-Point Perspective. Bürger, M.; Zelazo, D.; and Allgöwer, F. In Proc.\ 50th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC), pages 7825-7830, Orlando, FL, USA, 2011.
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A distributed simplex algorithm and the multi-agent assignment problem. Bürger, M.; Notarstefano, G.; Allgöwer, F.; and Bullo, F. In Proc.\ American Control Conf.\ (ACC), pages 2639 - 2644, San Francisco, CA, USA, 2011.
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Locally Constrained Decision Making via Two-Stage Distributed Simplex. Bürger, M.; Notarstefano, G.; and Allgöwer, F. In Proc.\ 50th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC), pages 5911-5916, Orlando, FL, USA, 2011.
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Moving horizon $˘ppercase{H}_{∞}$ control of constrained periodically time-varying systems. Böhm, C.; Yu, S.; and Allgöwer, F. In Proc.\ 18th IFAC World Congress, pages 10156-10161, Milano, Italy, 2011.
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Predictive Control Using Semi-definite Programming - Efficient Approaches for Periodic Systems and Lur'e Systems. Böhm, C. Ph.D. Thesis, University of Stuttgart, Stuttgart, Germany, 2011.
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On the Zeros of Consensus Networks. Briegel, B.; Zelazo, D.; Bürger, M.; and Allgöwer, F. In Proc.\ 50th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC), pages 1890-1895, Orlando, FL, USA, 2011.
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Steady state robustness of qualitative gene regulation networks. Breindl, C.; Waldherr, S.; Wittmann, D.; Theis, F.; and Allgöwer, F. Int.\ J.\ Robust and Nonlinear Control, 21(15): 1742–1758. 2011.
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Structural requirements and discrimination of cell differentiation networks. Breindl, C.; Schittler, D.; Waldherr, S.; and Allgöwer, F. In Proc.\ 18th IFAC World Congress, pages 11767-11772, Milano, Italy, 2011.
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Analysis of Networked Event-Based Control with a Shared Communication Medium: Part I - Pure ALOHA. Blind, R.; and Allgöwer, F. In Proc.\ 18th IFAC World Congress, pages 10092-10097, Milano, Italy, 2011.
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Analysis of Networked Event-Based Control with a Shared Communication Medium: Part II - Slotted ALOHA. Blind, R.; and Allgöwer, F. In Proc.\ 18th IFAC World Congress, pages 8830-8835, Milano, Italy, 2011.
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On the Optimal Sending Rate for Networked Control Systems with a Shared Communication Medium. Blind, R.; and Allgöwer, F. In Proc.\ 50th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC), pages 4704 - 4709, Orlando, FL, USA, 2011.
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On State-Constrained Control of a CSTR. Bayer, F.; Bürger, M.; Guay, M.; and Allgöwer, F. In Proc.\ 18th IFAC World Congress, pages 6079-6084, Milano, Italy, 2011.
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  2010 (56)
Automotive Model Predictive Control. Del Re, L.; Allgöwer, F.; Glielmo, L.; Guardiola, C.; and Kolmanovsky, I., editors. Volume 402 of Lecture Notes in Control and Information SciencesSpringer Berlin / Heidelberg, 2010.
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$\mathcal{H}_{∞}$ Performance and Robust Topology Design of Relative Sensing Networks. Zelazo, D.; and Mesbahi, M. In Proc.\ American Control Conf.\ (ACC), pages 4474-4479, Baltimore, Maryland, USA, 2010.
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Robust model predictive control with disturbance invariant sets. Yu, S.; Böhm, C.; Chen, H.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 6262–6267, Baltimore, MD, USA, 2010.
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MPC with one free control action for constrained LPV systems. Yu, S.; Böhm, C.; Chen, H.; and Allgöwer, F. In Proc.\ IEEE Int.\ Conf.\ Control Applications (CCA), pages 1343-1348, Yokohama, Japan, 2010. Part of IEEE Multi-Conference on Systems and Control (MSC)
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Phase Synchronization through Entrainment by a Consensus Input. Wieland, P.; Schmidt, G. S.; Sepulchre, R.; and Allgöwer, F. In Proc.\ 49th IEEE Conf.\ Decision and Control (CDC), pages 535–539, Atlanta, GA, USA, 2010.
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On topology and dynamics of consensus among linear high-order agents. Wieland, P.; Kim, J.; and Allgöwer, F. Int.\ J.\ Systems Science, 42(10): 1831-1842. 2010.
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On consensus among identical linear systems using input-decoupled functional observers. Wieland, P.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 1641-1646, Baltimore, MD, USA, 2010.
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From static to dynamic couplings in consensus and synchronization among identical and non-identical systems. Wieland, P Ph.D. Thesis, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2010.
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Bridging time scales in cellular decision making with a stochastic bistable switch. Waldherr, S.; Wu, J.; and Allgöwer, F. BMC Sys. Biol., 4: 108. 2010.
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Generic bifurcations in the dynamics of biochemical networks. Waldherr, S.; Allgöwer, F.; and Radde, N. In Proc.\ IEEE Int.\ Conf.\ Control Applications (CCA), pages 135–141, Yokohama, Japan, 2010. Part of IEEE Multi-Conference on Systems and Control (MSC)
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Controller Structure Design for Decentralized Control of Higher Order Subsystems. Schuler, S.; Zhou, W.; Münz, U.; and Allgöwer, F. In Proc.\ 2nd IFAC Workshop on Estimation and Control of Networked Systems (NecSys), pages 296–274, Annecy, France, 2010.
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$\ell_1$-Optimal Multivariable Pitch Control for Load Reduction on Large Wind Turbines. Schuler, S.; Schlipf, D.; Kühn, M.; and Allgöwer, F. In Proc.\ Scientific Track at the European Wind Energy Conf.\ (EWEC), pages 110-112, Warsaw, Poland, 2010.
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Optimal Controller Structure Reduction for Decentralized Control. Schuler, S.; Münz, U.; and Allgöwer, F. In Proc.\ 4th IFAC Symp.\ System, Structure and Control (SSSC), pages 303-308, Ancona, Italy, 2010.
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Consensus in Bistable and Multistable Multi-Agent Systems. Schmidt, G. S.; Wu, J.; Münz, U.; and Allgöwer, F. In Proc.\ 49th IEEE Conf.\ Decision and Control (CDC), pages 7135-7140, Atlanta, GA, USA, 2010.
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Synchronization Conditions for Lyapunov Oscillators. Schmidt, G. S.; Ebenbauer, C.; and Allgöwer, F. In Proc.\ 49th IEEE Conf.\ Decision and Control (CDC), pages 6230–6235, Atlanta, GA, USA, 2010.
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Look-Ahead Cyclic Pitch Control Using LIDAR. Schlipf, D.; Schuler, S.; Grau, P.; Allgöwer, F.; and Kühn, M. In Proc. of the Science of Making Torque from Wind (TORQUE), 2010.
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Model-based design of osteoblast differentiation stimuli. Schittler, D.; Waldherr, S.; Hasenauer, J.; Hauk, T.; Hausser, A.; Pfizenmaier, K.; and Allgöwer, F. Stem Cell Congress, Dresden, Germany, July 2010.
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Modeling genetic switching in osteoblast cell fate driven by extrinsic and intrinsic signals. Schittler, D.; Waldherr, S.; Hasenauer, J.; and Allgöwer, F. 3rd Conf. Syst. Biol. Mammalian Cells (SBMC 2010), Freiburg, Germany, June 2010.
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Switch models for cell differentiation: Bifurcation analysis reveals distinct switching properties. Schittler, D.; Waldherr, S.; and Allgöwer, F. Workshop on Statistical and dynamical models in biology and medicine, October 2010. abstract / talk
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Cell differentiation modeled via a coupled two-switch regulatory network. Schittler, D.; Hasenauer, J.; Allgöwer, F.; and Waldherr, S. Chaos, 20(4): 1-9. 2010.
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Stabilizing design parameters for model predictive control of constrained nonlinear time-delay systems. Reble, M.; and Allgöwer, F. In Proc.\ 9th IFAC Workshop on Time Delay Systems, Prague, Czech Republic, 2010. available online http://dx.doi.org/10.3182/20100607-3-CZ-4010.00064
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General Design Parameters of Model Predictive Control for Nonlinear Time-Delay Systems. Reble, M.; and Allgöwer, F. In Proc.\ 49th IEEE Conf.\ Decision and Control (CDC), pages 176–181, Atlanta, GA, USA, 2010.
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Impulsive Obervers for Continuous-Time Systems and Global Output Feedback Control. Raff, T. Ph.D. Thesis, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2010.
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Fixed point characterization of biological networks with complex graph topology. Radde, N. Bioinformatics, 26(22): 2874-2880. 2010.
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Effects of Delay in Multi-Agent Consensus and Oscillator Synchronization. Papachristodoulou, A.; Jadbabaie, A.; and Münz, U. IEEE Trans.\ Autom.\ Control, 55(6): 1471-1477. 2010.
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Delay Robustness in Consensus Problems. Münz, U.; Papachristodoulou, A.; and Allgöwer, F. Automatica, 46(8): 1252-1265. 2010.
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Robust Rendezvous of Heterogeneous Euler-Lagrange Systems on Packet-Switched Networks. Münz, U.; Papachristodoulou, A.; and Allgöwer, F. at-Automatisierungstechnik, 58(4): 184-191. 2010.
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Delay Robustness in Cooperative Control. Münz, U. Ph.D. Thesis, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2010.
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Input/output-to-state stability of switched nonlinear systems. Müller, M. A.; and Liberzon, D. In Proc.\ American Control Conf.\ (ACC), pages 1708-1712, Baltimore, Maryland, USA, 2010.
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State-norm estimators for switched nonlinear systems under average dwell-time. Müller, M. A.; and Liberzon, D. In Proc.\ 49th IEEE Conf.\ Decision and Control (CDC), pages 1275-1280, Atlanta, GA, USA, 2010.
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On Input-to-State Stability Notions for Reachability Analysis of Power Systems. Müller, M. A.; and Domínguez-García, A. D. In Proc.\ IEEE Int.\ Symp.\ Circuits and Systems (ISCAS), 2010.
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Predictive control for polynomial systems subject to constraints using sum of squares. Maier, C.; Böhm, C.; Deroo, F.; and Allgöwer, F. In Proc.\ 49th IEEE Conf.\ Decision and Control (CDC), pages 3433–3438, Atlanta, GA, USA, 2010.
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Optimal Control Over Unreliable Networks with Uncertain Loss Rates. Kögel, M.; Blind, R.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 3672-3677, Baltimore, MD, USA, 2010.
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Towards experimental design using a Bayesian framework for parameter identification in dynamic intracellular network models. Kramer, A.; and Radde, N. In Procedia Comp. Sci., volume 1, pages 1639–1647, 2010. Elsevier
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Computation of the posterior entropy in a Bayesian framework for parameter estimation in biological networks. Kramer, A.; Hasenauer, J.; Allgöwer, F.; and Radde, N. In Proc.\ IEEE Int.\ Conf.\ Control Applications (CCA), pages 493-498, Yokohama, Japan, 2010. Part of IEEE Multi-Conference on Systems and Control (MSC)
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A Nonlinear Synchronization Scheme for Hindmarsh-Rose Models. Kim, J.; and Allgöwer, F. J.\ Electrical Engineering and Technology, 5(1): 163-170. 2010.
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Parameter identification, experimental design and model falsification for biological network models using semidefinite programming. Hasenauer, J.; Waldherr, S.; Wagner, K.; and Allgöwer, F. IET Systems Biology, 4(2): 119-130. 2010.
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A maximum likelihood estimator for parameter distributions in heterogeneous cell populations. Hasenauer, J.; Waldherr, S.; Radde, N.; Doszczak, M.; Scheurich, P.; and Allgöwer, F. Procedia Computer Science, 1(1): 1649-1657. 2010.
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Density-based modeling and identification of biochemical networks in cell populations. Hasenauer, J.; Waldherr, S.; Doszczak, M.; Scheurich, P.; and Allgöwer, F. In Kothare, M.; Tade, M.; Moses, O.; Wouwer, A. V.; and Smets, I., editor(s), Proc.\ 9th IFAC Symp.\ Dynamics and Control of Process Systems (DYCOPS), pages 320-325, Leuven, Belgium, 2010.
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Guaranteed steady state bounds for uncertain (bio-)chemical processes using infeasibility certificates. Hasenauer, J.; Rumschinski, P.; Waldherr, S.; Borchers, S.; Allgöwer, F.; and Findeisen, R. J.\ Proc.\ Contr., 20(9): 1076-1083. 2010.
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Single-cells vs. cell populations - From a binary decision to a continuous response. Hasenauer, J.; Doszczak, M.; Borchers, S.; Waldherr, S.; Findeisen, R.; Scheurich, P.; and Allgöwer, F. In Proc.\ Conf.\ Systems Biology of Mammalian Cells (SBMC), Freiburg, Germany, June 2010.
link   bibtex  
Approximative classification of regions in parameter spaces of nonlinear ODEs yielding different qualitative behavior. Hasenauer, J.; Breindl, C.; Waldherr, S.; and Allgöwer, F. In Proc.\ 49th IEEE Conf.\ Decision and Control (CDC), pages 4114-4119, Atlanta, GA, USA, 2010.
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Predictive planning and systematic action – on the control of technical processes. Grüne, L.; Sager, S.; Allgöwer, F.; Bock, H. G.; and Diehl, M. In Grötschel, M.; Lucas, K.; and Mehrmann, V., editor(s), Production Factor Mathematics, pages 9-37. Springer, 2010.
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Stabilization of linear systems with distributed input delay. Goebel, G.; Münz, U.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 5800–5806, Baltimore, Maryland, USA, 2010.
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Efficient Model Predictive Control for Linear Periodic Systems. Freuer, A.; Reble, M.; Böhm, C.; and Allgöwer, F. In Proc.\ 19th Int.\ Symp.\ Mathematical Theory of Networks and Systems (MTNS), pages 1403-1409, Budapest, Hungary, 2010.
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Linear Matrix Inequalities for Normalizing Matrices. Ebenbauer, C. In Proc.\ 19th Int.\ Symp.\ Mathematical Theory of Networks and Systems (MTNS), pages 1375-1379, Budapest, Hungary, 2010.
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Model reduction of homogeneous-in-the-state bilinear systems with input constraints. Couchman, I.; Kerrigan, E.; and Böhm, C. In Proc.\ American Control Conf.\ (ACC), pages 2718–2723, Baltimore, Maryland, USA, 2010.
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Preference Based Group Agreement in Cooperative Control. Bürger, M.; Schmidt, G. S.; and Allgöwer, F. In Proc.\ 8th IFAC Symp.\ Nonlinear Control Systems (NOLCOS), pages 149-154, Bologna, Italy, 2010.
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Robust Constraint Satisfaction for Continuous Time Nonlinear Systems in Strict Feedback Form. Bürger, M.; and Guay, M. IEEE Trans.\ Autom.\ Control, 55(11): 2597 - 2601. Nov. 2010.
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Stability analysis of periodically time-varying systems using periodic Lyapunov functions. Böhm, C.; Lazar, M.; and Allgöwer, F. In Proc.\ IFAC Workshop on Periodic Control Systems (PSYCO), Antalya, Turkey, 2010. available online http://dx.doi.org/10.3182/20100826-3-TR-4016.00014
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A relaxation of Lyapunov conditions and controller synthesis for discrete-time periodic systems. Böhm, C.; Lazar, M.; and Allgöwer, F. In Proc.\ 49th IEEE Conf.\ Decision and Control (CDC), pages 3277–3282, Atlanta, GA, USA, 2010.
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Robust control of constrained sector bounded Lur'e systems with applications to nonlinear model predictive control. Böhm, C.; Findeisen, R.; and Allgöwer, F. Dynamics of Continuous, Discrete and Impulsive Systems, 17(6): 935–958. 2010.
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Efficient offline model predictive control of constrained nonlinear periodic systems. Böhm, C.; and Allgöwer, F. In Proc.\ IFAC Workshop on Periodic Control Systems (PSYCO), Antalya, Turkey, 2010. http://dx.doi.org/10.3182/20100826-3-TR-4016.00006
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A robustness measure for the stationary behavior of qualitative gene regulation networks. Breindl, C.; Waldherr, S.; and Allgöwer, F. In Proc.\ 11th Symp.\ Comput.\ Appl.\ Biotechnol.\ (CAB), pages 36 - 41, Leuven, Belgium, 2010.
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Locating omega-limit sets using height functions. Arsie, A.; and Ebenbauer, C. Journal of Differential Equations, 248: 2458-2469. May 2010.
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$\ell_{∞}$-Gain Controller Order Reduction for Discrete-Time Systems. Ajala, O.; Schuler, S.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 329-334, Baltimore, MD, USA, 2010.
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  2009 (67)
Nonlinear Model Predictive Control – Towards New Challenging Applications. Magni, L.; Raimondo, D.; and Allgöwer, F., editors. Volume 384 of Lecture Notes in Control and Information SciencesSpringer Berlin / Heidelberg, 2009.
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Enlarging the terminal region of NMPC with parameter-dependent control law. Yu, S.; Chen, H.; Böhm, C.; and Allgöwer, F. In Magni, L.; Raimondo, D.; and Allgöwer, F., editor(s), Nonlinear Model Predictive Control - Towards New Challenging Applications, volume 384, of Lecture Notes in Control and Information Sciences, pages 69–78. Springer Berlin / Heidelberg, 2009.
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Stabilizing model predictive control for LPV systems subject to constraints with parameter-dependent control law. Yu, S.; Böhm, C.; Chen, H.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 3118–3123, St. Louis, 2009.
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Moving horizon $\ell_2$ control of LPV systems subject to constraints. Yu, S.; Böhm, C.; Chen, H.; and Allgöwer, F. In Proc.\ 14th Int.\ Conf.\ Methods and Models in Automation and Robotics, pages 354-359, Miedzyzdroje, Poland, 2009.
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Mechanism of PP2A-mediated IKK$β$ dephosphorylation: a systems biological approach. Witt, J.; Barisic, S.; Schumann, E.; Allgöwer, F.; Sawodny, O.; Sauter, T.; and Kulms, D. BMC Sys. Biol., 3: 71. 2009.
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An Internal Model Principle for Consensus in Heterogeneous Linear Multi-Agent Systems. Wieland, P.; and Allgöwer, F. In Proc.\ 1st IFAC Workshop on Estimation and Control of Networked Systems (NecSys), pages 7-12, Venice, Italy, 2009.
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An Internal Model Principle for Synchronization. Wieland, P.; and Allgöwer, F. In Proc.\ 7th IEEE Int.\ Conf.\ Control and Automation, pages 285-290, Christchurch, New Zealand, 2009.
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Modelling and parameter estimation for heterogeneous cell populations. Waldherr, S.; Hasenauer, J.; Schliemann, M.; Scheurich, P.; and Allgöwer, F. German Symposium on Systems Biology, Heidelberg, May 2009.
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Modelling and parameter estimation for heterogeneous cell populations. Waldherr, S.; Hasenauer, J.; Schliemann, M.; Scheurich, P.; and Allgöwer, F. Talk, September 2009. Workshop Data 2 Dynamics, Freising, Germany
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Estimation of biochemical network parameter distributions in cell populations. Waldherr, S.; Hasenauer, J.; and Allgöwer, F. In Proc.\ 15th IFAC Symp.\ System Identification (SYSID), pages 1265–1270, Brussels, Belgium, 2009.
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The TNF Receptor Signalling Network: Modular Modelling and Cell-type Specific Analysis. Waldherr, S.; Doszczak, M.; Schliemann, M.; Schreiner, J.; Scheurich, P.; and Allgöwer, F. International Conference on Systems Biology, Stanford, USA, September 2009.
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Kinetic perturbations as robustness analysis tool for biochemical reaction networks. Waldherr, S.; Allgöwer, F.; and Jacobsen, E. W. In Proc.\ 48th IEEE Conf.\ Decision and Control (CDC), pages 4572–4577, Shanghai, China, 2009.
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Searching bifurcations in high-dimensional parameter space via a feedback loop breaking approach. Waldherr, S.; and Allgöwer, F. Int.\ J.\ Systems Science, 40(7): 769-782. 2009.
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A feedback approach to bifurcation analysis in biochemical networks with many parameters. Waldherr, S.; and Allgöwer, F. Workshop ``Engineering Principles in Biological Systems", Cambridge, UK, 10 2009.
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Uncertainty and robustness analysis of biochemical reaction networks via convex optimisation and robust control theory. Waldherr, S. Ph.D. Thesis, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2009.
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Steady state sensitivity analysis of biochemical reaction networks. A brief review and new methods. Streif, S.; Waldherr, S.; Allgöwer, F.; and Findeisen, R. In Jayaraman, A.; and Hahn, J., editor(s), Systems Analysis of Biological Networks, of Methods in Bioengineering, pages 129–148. Artech House, 2009.
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On System Gains, Nonlinearity Measures, and Linear Models for Nonlinear Systems. Schweickhardt, T.; and Allgöwer, F. IEEE Trans.\ Autom.\ Control, 54(1): 62-78. 2009.
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$\ell_{∞}$-Gain Model Reduction for Discrete Time Systems via LMIs. Schuler, S.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 5701-5706, St. Louis, MO, USA, 2009.
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Multi-Agent Speed Consensus via Delayed Position Feedback with Application to Kuramoto Oscillators. Schmidt, G. S.; Münz, U.; and Allgöwer, F. In Proc.\ European Control Conf.\ (ECC), pages 2464-2469, Budapest, Hungary, 2009.
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Nonlinear Model Predictive Control for Periodic Systems using LMIs. Reble, M.; Böhm, C.; and Allgöwer, F. In Proc.\ European Control Conf.\ (ECC), pages 3365-3370, Budapest, Hungary, 2009.
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Modellprädiktive Regelung für nichtlineare Totzeitsysteme. Reble, M.; and Allgöwer, F. In Tagungsband Workshop GMA-Fachausschuss 1.40 ``Theoretische Verfahren der Regelungstechnik'', 2009.
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. Radde, N.; and Kaderali, L. A Bayes Regularized ODE Model for the Inference of Gene Regulatory Networks. Das, S.; Caragea, D.; Hsu, W.; and Welch, S., editor(s). IGI Global, 2009.
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A comparison of likelihoods for dynamic stochastic models of biological networks. Radde, N.; Bar, N.; and Tresch, A. In WCSB Conference proceedings, 2009. proceeding accepted
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Graphical methods for analysing feedback in biological networks - A survey -. Radde, N.; Bar, N.; and Banaji, M. Int.\ J.\ Systems Science. 2009.
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The impact of time-delays on the robustness of biological oscillators and the effect of bifurcations on the inverse problem. Radde, N. Eurasip Journal on Bioinformatics and Systems Biology, 2009. 2009.
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Diagnosis of unknown parametric faults in non-linear stochastic dynamical systems. Münz, U.; and Zufiria, P. J. Int.\ J.\ Control, 82(4): 603-619. 2009.
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Robust Stabilization and $H_∞$ Control of Uncertain Distributed Delay Systems. Münz, U.; Rieber, J. M.; and Allgöwer, F. In Loiseau, J. J.; Michiels, W.; Niculescu, S.; and Sipahi, R., editor(s), Topics in Time Delay Systems: Analysis, Algorithms, and Control, volume 388, of Lecture Notes in Control and Information Sciences, pages 221-231. Springer Berlin / Heidelberg, 2009.
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Consensus reaching in multi-agent packet-switched networks with non-linear coupling. Münz, U.; Papachristodoulou, A.; and Allgöwer, F. Int.\ J.\ Control, 82(5): 953 - 969. 2009.
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Generalized Nyquist Consensus Condition for Large High-Order Linear Multi-Agent Systems with Communication Delays. Münz, U.; Papachristodoulou, A.; and Allgöwer, F. In Proc.\ 48th IEEE Conf.\ Decision and Control (CDC), pages 4765 - 4771, Shanghai, China, 2009.
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Generalized Nyquist Consensus Condition for Linear Multi-Agent Systems with Heterogeneous Delays. Münz, U.; Papachristodoulou, A.; and Allgöwer, F. In Proc.\ 1st IFAC Workshop on Estimation and Control of Networked Systems (NecSys), pages 24-29, Venice, Italy, 2009.
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Output Consensus Controller Design for Nonlinear Relative Degree One Multi-Agent Systems with Delays. Münz, U.; Papachristodoulou, A.; and Allgöwer, F. In Proc.\ 8th IFAC Workshop on Time Delay Systems, pages 370-375, Sinaia, Romania, 2009.
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Stability Analysis of Time-Delay Systems with Incommensurate Delays using Positive Polynomials. Münz, U.; Ebenbauer, C.; Haag, T.; and Allgöwer, F. IEEE Trans.\ Autom.\ Control, 54(5): 1019-1024. 2009.
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A Matlab-Based Game for Advanced Automatic Control Education. Münz, U.; Böhm, C.; Eck, J.; Reble, M.; Schumm, P.; and Allgöwer, F. In Proc.\ 8th IFAC Symp.\ Advances in Control Education, pages 140-145, Kumamoto, Japan, 2009.
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The transcritical bifurcation in absolutely stable feedback systems. Müller, M. A.; Waldherr, S.; and Allgöwer, F. In Proc.\ European Control Conf.\ (ECC), pages 2146–2151, Budapest, Hungary, 2009.
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Robust output feedback model predictive control of constrained linear systems: Time varying case. Mayne, D. Q.; Raković, S. V.; Findeisen, R.; and Allgöwer, F. Automatica, 45(9): 2082–2087. 2009.
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Global Sensitivity Analysis of Force-induced Bone Growth and Adaptation using Semidefinite Programming. Maldonado, S.; Allgöwer, F.; and Findeisen, R. In Proc.\ 3rd Foundations of Systems Biology in Engineering (FOSBE), pages 141-144, Denver, CO, USA, 2009.
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A Set-Valued Filter for Discrete Time Polynomial Systems using Sum of Squares Programming. Maier, C.; and Allgöwer, F. In Proc.\ 48th IEEE Conf.\ Decision and Control (CDC), pages 223–228, Shanghai, China, 2009.
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Modeling and Control of Piezoelectric Tube Actuators and Dynamic Atomic Force Microscopes. Maess, J. Ph.D. Thesis, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2009.
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Amplitude Distribution of Stochastic Oscillations in Biochemical Networks due to Intrinsic Noise. Lang, M.; Waldherr, S.; and Allgöwer, F. PMC Biophysics, 2: 10. 2009.
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A Stochastic Framework for Noise Separation in Dynamic Models of Intracellular Networks. Kramer, A.; and Radde, N. In Dubois, D. M., editor(s), Proc.\ CASYS'09, pages 68-73, August 2009. AIP
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Receding horizon control for linear periodic time-varying systems subject to input constraints. Kern, B.; Böhm, C.; Findeisen, R.; and Allgöwer, F. In Magni, L.; Raimondo, D.; and Allgöwer, F., editor(s), Nonlinear Model Predictive Control - Towards New Challenging Applications, volume 384, of Lecture Notes in Control and Information Sciences, pages 109–117. Springer Berlin / Heidelberg, 2009.
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Estimation of biochemical network parameter distributions in cell populations. Hasenauer, J.; Waldherr, S.; and Allgöwer, F. In Workshop on Cancer Systems Biology, Rostock, Germany, 2009.
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Guaranteed steady-state bounds for uncertain chemical processes. Hasenauer, J.; Rumschinski, P.; Waldherr, S.; Borchers, S.; Allgöwer, F.; and Findeisen, R. In Engell, S.; and Arkun, Y., editor(s), Proc.\ IFAC Int.\ Symp.\ Advanced Control of Chemical Processes (ADCHEM), pages 674-679, July 2009. Engell, S. and Mandler, J., IFAC-PaperOnline
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Comparison of Different Stability Conditions for Linear Time-Delay Systems with Incommensurate Delays. Haag, T.; Münz, U.; and Allgöwer, F. In Proc.\ 8th IFAC Workshop on Time Delay Systems, pages 136-141, Sinaia, Romania, 2009.
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Vorausschauend planen, geziehlt handeln – über die Regelung und Steuerung technischer Prozesse. Grüne, L.; Sager, S.; Allgöwer, F.; Bock, H. G.; and Diehl, M. In Grötschel, M.; Lucas, K.; and Mehrmann, V., editor(s), Produktionsfaktor Mathematik, pages 27–62. Springer Berlin / Heidelberg, 2009.
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Modeling and simulation of nitrogen regulation in Corynebacterium glutamicum. Gebert, J.; Radde, N.; Faigle, U.; Strösser, J.; and Burkovski, A. Discrete Appl. Math.. 2009. in press
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Model Predictive Control of Constrained Nonlinear Time-Delay Systems. Esfanjani, R. M.; Reble, M.; Münz, U.; Nikravesh, S. K. Y.; and Allgöwer, F. In Proc.\ 48th IEEE Conf.\ Decision and Control (CDC), pages 1324-1329, Shanghai, China, 2009.
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Live and let die–A systems biology view on cell death. Eißing, T.; Chaves, M.; and Allgöwer, F. Comp.\ & Chem.\ Eng., 33: 583–589. 2009.
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Dissipation inequalities in systems theory: An introduction and recent results. Ebenbauer, C.; Raff, T.; and Allgöwer, F. In Jeltsch, R.; and Wanner, G., editor(s), 6th International Congress on Industrial and Applied Mathematics, Z�rich, Switzerland, 16-20 July 2007, pages 23-42. European Mathematical Society Publishing House, Zürich, Switzerland, 2009.
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Refining Lasalle's invariance principle. Ebenbauer, C.; and Arsie, A. In Proc.\ American Control Conf.\ (ACC), pages 108-112, St. Louis, Missouri, USA, 2009.
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On an Eigenflow Equation and its Structure Preserving Properties. Ebenbauer, C.; and Arsie, A. In Proc.\ 48th IEEE Conf.\ Decision and Control (CDC), pages 7491-7496, Shanghai, China, 2009.
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An introduction to interconnection and damping assignment passivity-based control in process engineering. Dörfler, F.; Johnsen, J. K.; and Allgöwer, F. J.\ Proc.\ Contr., 19(9): 1413-1426. 2009.
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Food webs are more than the sum of their tri-trophic parts. Cohen, J.; Schittler, D.; Raffaelli, D.; and Reuman, D. Proc. Natl. Acad. Sci. U. S. A., 106(52): 22335-22340. December 2009.
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Regulation of apoptosis via the NF$κ$B pathway: modeling and analysis. Chaves, M.; Eißing, T.; and Allgöwer, F. In Ganguly, N.; Deutsch, A.; and Mukherjee, A., editor(s), Dynamics On and Of Complex Networks, pages 19–34. Birkhäuser, 2009.
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A Backstepping Approach to Multivariable Robust Constraint Satisfaction With Application to a VTOL Helicopter. Bürger, M.; and Guay, M. In Proc.\ 48th IEEE Conf.\ Decision and Control (CDC), pages 5239 - 5244, Shanghai, China, Dec. 2009.
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Predictive control for Lure systems subject to constraints using LMIs. Böhm, C.; Yu, S.; Findeisen, R.; and Allgöwer, F. In Proc.\ European Control Conf.\ (ECC), pages 3389–3394, Budapest, Hungary, 2009.
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Predictive control for constrained discrete-time periodic systems using a time-varying terminal region. Böhm, C.; Yu, S.; and Allgöwer, F. In Proc.\ 14th Int.\ Conf.\ Methods and Models in Automation and Robotics, Miedzyzdroje, Poland, 2009. available online http://dx.doi.org/10.3182/20090819-3-PL-3002.00093
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LMI-based Model Predictive Control for Linear Discrete-Time Periodic Systems. Böhm, C.; Raff, T.; Reble, M.; and Allgöwer, F. In Magni, L.; Raimondo, D.; and Allgöwer, F., editor(s), Nonlinear Model Predictive Control - Towards New Challenging Applications, volume 384, of Lecture Notes in Control and Information Sciences, pages 99-108. Springer Berlin / Heidelberg, 2009.
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Spacecraft rate damping with predictive control using magnetic actuators only. Böhm, C.; Merk, M.; Fichter, W.; and Allgöwer, F. In Magni, L.; Raimondo, D.; and Allgöwer, F., editor(s), Nonlinear Model Predictive Control - Towards New Challenging Applications, volume 384, of Lecture Notes in Control and Information Sciences, pages 511–520. Springer Berlin / Heidelberg, 2009.
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An NMPC approach to avoid weakly observable trajectories. Böhm, C.; Heß, F.; Findeisen, R.; and Allgöwer, F. In Magni, L.; Raimondo, D.; and Allgöwer, F., editor(s), Nonlinear Model Predictive Control - Towards New Challenging Applications, volume 384, of Lecture Notes in Control and Information Sciences, pages 275–284. Springer Berlin / Heidelberg, 2009.
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Modeling cofilin mediated regulation of cell migration as a biochemical two-input switch. Breindl, C.; Waldherr, S.; Hausser, A; and Allgöwer, F. In Proc.\ 3rd Foundations of Systems Biology in Engineering (FOSBE), pages 60-63, 2009.
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Verification of multistability in gene regulation networks: A combinatorial approach. Breindl, C.; and Allgöwer, F. In Proc.\ 48th IEEE Conf.\ Decision and Control (CDC), pages 5637-5642, Shanghai, China, 2009.
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Robustification and Optimization of a Kalman Filter with Measurement Loss using Linear Precoding. Blind, R.; Uhlich, S.; Yang, B.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 2222-2227, St. Louis, MO, USA, 2009.
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A controller design for Networked Control Systems with random delays via the Jump Linear System approach, which reduces the effects of the delay. Blind, R.; and Allgöwer, F. In Proc.\ European Control Conf.\ (ECC), pages 1728-1733, Budapest, Hungary, 2009.
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Estimating the Fates of the Control Packets for Networked Control Systems with Loss of Control and Measurement Packets. Blind, R.; and Allgöwer, F. In Proc.\ 48th IEEE Conf.\ Decision and Control (CDC), 28th Chinese Control Conf.\ (CCC), pages 2687 -1692, Shanghai, China, 2009.
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Long-term prediction of fish growth under varying ambient temperature using a multiscale dynamic model. Bar, N. S.; and Radde, N. BMC Sys. Biol., 3(1): 107. 2009.
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Robust fault detection and isolation of nonlinear systems with augmented state models. Aßfalg, J. Ph.D. Thesis, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2009.
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  2008 (42)
Proc.\ 5th Int. Workshop on Comput.\ Syst.\ Biol.\ (WCSB08). Ahdesmäki, M.; Strimmer, K.; Radde, N.; Rahnenführer, J.; Klemm, K.; Lähdesmäki, H.; and Yli-Harja, O., editors. 2008. Editing work
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Moving horizon $H_{∞}$ control based on T-S models. Yu, S.; Chen, H.; Böhm, C.; and Allgöwer, F. In Proc.\ Int.\ Workshop on Assessment and Future Directions of Nonlinear Model Predictive Control, Pavia, Italy, 2008.
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Barrel temperature control during operation transition in injection molding. Yao, K.; G., F.; and Allgöwer, F. Control Engineering Practice, 16: 1259-1264. 2008.
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On consensus in multi-agent systems with linear high-order agents. Wieland, P.; Kim, J.; Scheu, H.; and Allgöwer, F. In Proc.\ 17th IFAC World Congress, pages 1541-1546, Seoul, Korea, 2008.
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Conditions for the existence of a flat input. Waldherr, S.; and Zeitz, M. Int.\ J.\ Control, 81(3): 439–443. 2008.
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Global sensitivity analysis of uncertain biochemical reaction networks. Waldherr, S.; Hasenauer, J.; and Allgöwer, F. In 2nd Int. Work. Syst. Biol., 2008.
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Global Sensitivity Analysis of Biochemical Reaction Networks via Semidefinite Programming. Waldherr, S.; Findeisen, R.; and Allgöwer, F. In Proc.\ of the 17th IFAC World Congress, pages 9701-9706, Seoul, Korea, 2008.
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Rückkopplungen im Leben und Sterben einer Zelle: Ansätze zur systemtheoretischen Analyse. Waldherr, S.; Eißing, T.; and Allgöwer, F. at-Automatisierungstechnik, 56: 233–240. 2008.
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Analysis of Feedback Mechanisms in Cell-biological Systems. Waldherr, S.; Eißing, T.; and Allgöwer, F. In Proc.\ of the 17th IFAC World Congress, pages 15861–15866, Seoul, Korea, 2008.
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The TNF Receptor Signalling Network: Modular Modelling and Cell-type Specific Analysis. Waldherr, S.; Doszczak, M.; Schliemann, M.; Schreiner, J.; Scheurich, P.; and Allgöwer, F. In 2nd Conference on Systems Biology of the Mammalian Cell, Dresden, 2008.
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On maximal permissiveness of hierarchical and modular supervisory control approaches for discrete event systems. Schmidt, K.; and Breindl, C. In Proc.\ 9th Int.\ Workshop Discrete Event Syst. (WODES), pages 462 - 467, 2008.
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Model Predictive Control of Uncertain Continuous-Time Systems with Piecewise Constant Control Input: A Convex Approach. Raff, T.; Sinz, D.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 1109-1114, Seattle, WA, USA, 2008.
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Observer with Sample-and-Hold Updating for Lipschitz Nonlinear Systems with Nonuniformly Sampled Measurements. Raff, T.; Kögel, M.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 5254-5257, Seattle, WA, USA, 2008.
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An Observer that Converges in Finite Time Due to Measurement-based State Updates. Raff, T.; and Allgöwer, F. In Proc.\ 17th IFAC World Congress, pages 2693-2695, Seoul, Korea, 2008.
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Inference of an oscillatory model for the yeast cell cycle. Radde, N.; and Kaderali, L. Discrete Appl. Math., doi:10.1016/j.dam.2008.06.036. 2008. in press
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Modeling feedback loops in the H-NS-mediated regulation of the Escherichia coli bgl operon. Radde, N.; Gebert, J.; Faigle, U.; Schrader, R.; and Schnetz, K. Journal of Theoretical Biology, 250(2). 2008.
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The effect of time scale differences and time-delays on the structural stability of oscillations in a two-gene network. Radde, N. Adv. Complex. Syst., 11(3): 471-483. 2008.
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Educational Games in Control. Münz, U.; Schumm, P.; and Allgöwer, F. In Proc.\ 17th IFAC World Congress, pages 12625 - 12630, Seoul, Korea, 2008.
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Robust stability of Distributed Delay Systems. Münz, U.; Rieber, J. M.; and Allgöwer, F. In Proc.\ 17th IFAC World Congress, pages 12354 - 12358, Seoul, Korea, 2008.
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Nonlinear Multi-Agent System Consensus with Time-Varying Delays. Münz, U.; Papachristodoulou, A.; and Allgöwer, F. In Proc.\ 17th IFAC World Congress, pages 1522 - 1527, Seoul, Korea, 2008.
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Delay-Dependent Rendezvous and Flocking of Large Scale Multi-Agent Systems with Communication Delays. Münz, U.; Papachristodoulou, A.; and Allgöwer, F. In Proc.\ 47th IEEE Conf.\ Decision and Control (CDC), pages 2038-2043, Cancun, Mexico, 2008.
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Understanding the process of force-induced bone growth and adaptation through a mathematical model. Maldonado, S.; Findeisen, R.; and Allgöwer, F. Bone, 42, Supplement 1: S61. 2008.
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Describing force-induced bone groth and adaptation by a mathematical model. Maldonado, S.; Findeisen, R.; and Allgöwer, F. J. Musculoskel. Neuronal Interact., 8(1): 15–17. 2008.
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Towards Optimal Treatment Design: Model predicts the synergistic effects of PGE2 and mechanical loading during bone remodeling. Maldonado, S.; Findeisen, R.; and Allgöwer, F. International Workshop for Musculoskeletal and Neuronal Interactions, May 2008.
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Understanding the process of force-induced bone growth and adaptation by a mathematical model. Maldonado, S.; Findeisen, R.; and Allgöwer, F. 8th World Congress on Computational Mechanics, June-July 2008.
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. Maier, C.; Haag, T.; Münz, U.; and Allgöwer, F. Volume 5 of Mathematical Problems in Engineering and Aerospace Sciences: ICNPAA 2008. Construction of quadratic Lyapunov-Krasovskii functionals for linear time delay systems with multiple uncertain delays. Sivasundaram, S., editor(s). Cambridge Scientific Publisher Ltd, Cambridge, UK, 2008.
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Simulation of Dynamics-Coupling in Piezoelectric Tube Scanners by Reduced Order Finite Element Analysis. Maess, J.; Fleming, A. J.; and Allgöwer, F. Review of Scientific Instruments, 79(1): 1-9. 2008.
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Model-Based Vibration Suppression in Piezoelectric Tube Scanners through Induced Voltage Feedback. Maess, J.; Fleming, A. J.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 2022 - 2027, Seattle, WA, USA, 2008.
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Two-Degree-of-Freedom Tracking Control of Piezoelectric Tube Scanners in Two-Dimensional Scanning Applications. Maess, J.; Becker, J.; Gaul, L.; and Allgöwer, F. In Proc.\ 17th IFAC World Congress, pages 8257 - 8262, Seoul, Korea, 2008.
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Nonlinear Synchronization of Coupled Oscillators: The Polynomial Case. Kim, J.; and Allgöwer, F. In Astolfi, A.; and Marconi, L., editor(s), Analysis and Design of Nonlinear Control Systems, In Honor of Alberto Isidori, pages 339-351. Springer Berlin / Heidelberg, 2008.
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$\mathcal{L}_2$-gain of Port-Hamiltonian systems and application to a biochemical fermenter model. Johnsen, J. K.; Dörfler, F.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 153 - 158, Seattle, USA, 2008.
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Global sensitivity analysis of biochemical reaction networks using semidefinite programming. Hasenauer, J.; Waldherr, S.; and Allgöwer, F. In Proc.\ 9th Int.\ Conf.\ Systems Biology (ICSB), Gothenburg, Sweden, 2008.
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Observability based parameter identifiability for biochemical reaction networks. Geffen, D.; Findeisen, R.; Schliemann, M.; Allgöwer, F.; and Guay, M. In Proc.\ American Control Conf.\ (ACC), pages 2130-2135, Seattle, WA, USA, 2008.
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On an eigenflow equation and its Lie algebraic generalization. Ebenbauer, C.; and Arsie, A. Communications in Information and Systems, 8(1): 147-170. 2008.
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A Dissipation Inequality for the Minimum Phase Property. Ebenbauer, C.; and Allgöwer, F. IEEE Trans.\ Autom.\ Control, 53(3): 821-826. 2008.
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Optimal measurement feedback control of finite-time continous linear systems. Dmitruk, N.; Findeisen, R.; and Allgöwer, F. In Proc.\ 17th IFAC World Congress, pages 15339-15344, Seoul, Korea, 2008.
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Bistable Biological Systems: A Characterization Through Local Compact Input-to-State Stability. Chaves, M.; Eißing, T.; and Allgöwer, F. IEEE Trans.\ Autom.\ Control, 53(Special Issue): 87-100. 2008.
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Extensions on a Certainty-Equivalence Feedback Design with a Class of Feedbacks Which Guarantee ISS. Bürger, M.; Raff, T.; Ebenbauer, C.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 383-388, Seattle, WA, USA, 2008.
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Calculating the terminal region of NMPC for Lure systems. Böhm, C.; Raff, T.; Findeisen, R.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 1127–1132, Seattle, WA, USA, 2008.
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Avoidance of poorly observable trajectories: A predictive control perspective. Böhm, C.; Findeisen, R.; and Allgöwer, F. In Proc.\ 17th IFAC World Congress, pages 1952–1957, Seoul, Korea, 2008.
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Modeling, Analysis, and Design of Networked Control Systems using Jump Linear Systems. Blind, R.; Münz, U.; and Allgöwer, F. at-Automatisierungstechnik, 56(1): 20-28. 2008.
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Modeling, Analysis, and Stabilization of Networked Control Systems: A Jump Linear Systems Approach. Blind, R.; Münz, U.; and Allgöwer, F. march 2008.
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  2007 (52)
Predictive Control of Combustion Engines. Allgöwer, F.; del Re , L.; Diehl, M.; and Scattolini, R., editors. Trauner Verlag, 2007.
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Assessment and Future Directions of Nonlinear Model Predictive Control. Findeisen, R.; Biegler, L.; and Allgöwer, F., editors. of Lecture Notes in Control and Information SciencesSpringer Berlin / Heidelberg, 2007.
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Optimal dead-time compensator for stable and integrating processes with time delay. Zhang, W.; Rieber, J. M.; and Gu, D. J.\ Proc.\ Contr., 18: 449-457. 2007.
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Supervisory Control using a New Control-relevant Switching. Yoon, T.; Kim, J.; and Morse, A. Automatica, 43: 1791–1798. 2007.
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Ensuring Task-Independent Safety for Multi-Agent Systems by Feedback. Wieland, P.; Ebenbauer, C.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 3880-3885, New York City, NY, USA, 2007.
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Constructive Safety using Control Barrier Functions. Wieland, P.; and Allgöwer, F. In Proc.\ 7th IFAC Symp.\ Nonlinear Control Systems (NOLCOS), pages 473–478, Pretoria, South Africa, 2007.
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Bistability preserving model reduction in apoptosis. Waldherr, S.; Eißing, T.; Chaves, M.; and Allgöwer, F. In Proc.\ 10th Int.\ IFAC Symp.\ Computer Appications in Biotechnology, pages 327–332, Cancun, Mexico, 2007.
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Analysing biological feedback with tools from control theory. Waldherr, S.; Eißing, T.; and Allgöwer, F. In FEBS Advanced Lecture Course on Systems Biology, 2007. Poster
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A feedback approach to bifurcation analysis in biochemical networks with many parameters. Waldherr, S.; and Allgöwer, F. In Proc.\ 2nd Foundations of Systems Biology in Engineering (FOSBE), pages 479–484, Stuttgart, Germany, 2007.
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Topology-Dependent Stability of a Network of Dynamical Systems with Communication Delays. Schöllig, A.; Münz, U.; and Allgöwer, F. In Proc.\ European Control Conf.\ (ECC), pages 1197–1202, Kos, Greece, 2007.
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Linear control of nonlinear systems based on nonlinearity measures. Schweickhardt, T.; and Allgöwer, F. J.\ Proc.\ Contr., 17(3): 273-284. 2007.
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Control of Uncertain Systems with l1 and Quadratic Performance Objectives. Rieber, J. M. Ph.D. Thesis, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2007.
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Diagnosis of Parametric Faults in Multivariable Nonlinear Systems. Reble, M.; Münz, U.; and Allgöwer, F. In Proc.\ 46th IEEE Conf.\ Decision and Control (CDC), pages 366-371, New Orleans, LA, USA, 2007.
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Model Predictive Control for Nonlinear Time-Delay Systems. Raff, T.; Angrick, C.; Findeisen, R.; Kim, J.; and Allgöwer, F. In Proc.\ 7th IFAC Symp.\ Nonlinear Control Systems (NOLCOS), pages 134-139, Pretoria, South Africa, 2007.
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An Impulsive Observer that Estimates the Exact State of a Linear Continuous-Time System in Predetermined Finite Time. Raff, T.; and Allgöwer, F. In Proc.\ 12th Mediterranean Conf.\ Control and Automation (MED), Athens, Greece, 2007. available online http://dx.doi.org/10.1109/MED.2007.4433909
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Observers with Impulsive Dynamical Behavior for Linear and Nonlinear Continuous-Time Systems. Raff, T.; and Allgöwer, F. In Proc.\ 46th IEEE Conf.\ Decision and Control (CDC), pages 4287-4292, New Orleans, LA, USA, 2007.
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Observer Design via Absolute Stability for a Class of Nonlinear Descriptor Systems. Raff, T.; and Allgöwer, F. In Proc.\ 7th IFAC Symp.\ Nonlinear Control Systems (NOLCOS), pages 307 - 312, Pretoria, South Africa, 2007.
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Bayesian inference of gene regulatory networks using gene expression time series data. Radde, N.; and Kaderali, L. In Hochreiter, S.; and Wagner, R., editor(s), Bioinformatics Research and Development, BIRD07, volume 4414, 2007. Springer
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Evaluation study of an efficient output feedback nonlinear model predictive control for temperature tracking in an industrial batch reactor. Nagy, Z.; Mahn, B.; Franke, R.; and Allgöwer, F. Control Engineering Practice, 15(7): 839-850. 2007.
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A nonlinear model predictive control approach for robust end-point property control of a thin-film deposition process. Nagy, Z.; and Allgöwer, F. Int.\ J.\ Robust and Nonlinear Control, 17(17): 1600-1613. 2007.
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Motivation and Learning Progress through Educational Games. Münz, U.; Schumm, P.; Wiesebrock, A.; and Allgöwer, F. IEEE Trans.\ Industrial Electronics, 54(6): 3141-3144. 2007.
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Multi-Agent System Consensus in Packet-Switched Networks. Münz, U.; Papachristodoulou, A.; and Allgöwer, F. In Proc.\ European Control Conf.\ (ECC), pages 4598–4603, Kos, Greece, 2007.
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Stability of Networked Systems with Multiple Delays Using Linear Programming. Münz, U.; Ebenbauer, C.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 5515–5520, New York City, NY, USA, 2007.
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$\mathcal{L}_2$-Gain Based Controller Design for Linear Systems with Distributed Delays and Rational Delay Kernels. Münz, U.; and Allgöwer, F. In Proc.\ 7th IFAC Symp.\ Time-Delay Systems, Nantes, France, 2007. on CD, paper MEA-3
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Mathematical modeling of force induced bone growth and adaptation. Maldonado, S.; Findeisen, R.; and Allgöwer, F. 4. Black Forest Forum for Musculoskeletal Interactions. Castle Bad Liebenzell, May 2007.
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Phenomenological Mathematical Modeling and Analysis of Force-induced Bone Growth and Adaptation. Maldonado, S.; Findeisen, R.; and Allgöwer, F. In Proc.\ 2nd Foundations of Systems Biology in Engineering (FOSBE), pages 147–152, Stuttgart, Germany, 2007.
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Simulation of Piezoelectric Tube Actuators by Reduced Finite Element Models for Controller Design. Maess, J.; Fleming, A. J.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 4221-4226, New York City, NY, USA, 2007.
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Closed-Loop Simulation of Kelvin Probe Force Microscopy based on Reduced Finite Element Cantilever Modeling. Maess, J.; and Allgöwer, F. In 3rd International IEEE Scientific Conference on Physics and Control, Potsdam, Germany, 2007.
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Optimization strategies for a MMA polymerization reactor. Lepore, R.; Vande Wouwer, A.; Remy, M.; Findeisen, R.; Nagy, Z. K.; and Allgöwer, F. Comp.\ & Chem.\ Eng., 31(4): 281-291. 2007.
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Regelung eines Achterbahn-Kettenliftes. Knierim, K. L.; Maess, J.; Schneider, M.; and Allgöwer, F. VDI-Berichte 1980: GMA Kongress, 2007.
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Discrete-time supervisory control of input-constrained neutrally stable linear systems via state-dependent dwell-time switching. Kim, J.; Yoon, T.; and De Persis, C. Syst.\ Contr.\ Lett., 56: 484-492. 2007.
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A nonlinear synchronization scheme for polynomial systems. Kim, J.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 2588 - 2593, New York City, NY, USA, 2007.
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Nonlinear Observer-based Synchronization of Neuron Models. Kim, J.; and Allgöwer, F. In 3rd International IEEE Scientific Conference on Physics and Control, Potsdam, Germany, 2007.
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2. Kaderali, L.; and Radde, N. Volume 1 of Studies in Computational Intelligence. Inferring gene regulatory networks from expression data. Springer, 2007.
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Comparative assessment of old and new suboptimal control schemes on three example processes. Journée, M.; Schweickhardt, T.; and Allgöwer, F. Int.\ J.\ of Tomography & Statistics, 6(S07): 45-50. 2007.
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Interconnection and Damping Assignment Passivity-Based Control of a Four-Tank System. Johnsen, J.; and Allgöwer, F. In Bullo, F.; and Fujimoto, K., editor(s), Lagrangian and Hamiltonian Methods for Nonlinear Control 2006, volume 366, of Lecture Notes in Control and Information Sciences, pages 111-122. Springer Berlin / Heidelberg, 2007.
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The question of parameter identifiability for biochemical reaction networks considering the NF-$κ$B signal transduction pathway. Geffen, D.; Findeisen, R.; Schliemann, M.; Allgöwer, F.; and Guay, M. In Proc.\ 2nd Foundations of Systems Biology in Engineering (FOSBE), pages 509-514, Stuttgart, Germany, 2007.
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Modeling gene regulatory networks with piecewise linear differential equations. Gebert, J.; Radde, N.; and Weber, G. European Journal of Operational Research, 181(3): 1148-1165. 2007.
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Model predictive control of continuous time nonlinear differential algebraic systems. Findeisen, R.; Sjoberg, J.; and Allgöwer, F. In Proc.\ 7th IFAC Symp.\ Nonlinear Control Systems (NOLCOS), pages 165-171, Pretoria, South Africa, 2007.
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Sampled-Data Nonlinear Model Predictive Control for Constrained Continuous Time Systems. Findeisen, R.; Raff, T.; and Allgöwer, F. In Tarbouriech, S.; and Glattfelder, A., editor(s), Advanced Strategies in Control Systems with Input and Output Constraints, volume 346, of Lecture Notes in Control and Information Sciences, pages 207-235, 2007. Springer Berlin / Heidelberg
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Steady state and (bi-) stability evaluation of simple protease signalling networks. Eißing, T.; Waldherr, S.; Allgöwer, F.; Scheurich, P.; and Bullinger, E. BioSystems, 90(3): 591-601. 2007.
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Response to Bistability in Apoptosis: Roles of Bax, Bcl-2, and Mitochondrial Permeability Transition Pores. Eißing, T.; Waldherr, S.; Allgöwer, F.; Scheurich, P.; and Bullinger, E. Biophysical J., 92(9): 3332–3334. 2007.
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Modelling and Analysis of Cell Death Signalling. Eißing, T.; Waldherr, S.; and Allgöwer, F. In Queinnec, I.; Tarbouriech, S.; Garcia, G.; and Niculescu, S., editor(s), Biology and Control Theory: Current Challenges, volume 357, of Lecture Notes in Control and Information Sciences, pages 161–180. Springer Berlin / Heidelberg, 2007.
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A systems science view on cell death signalling. Eißing, T. Ph.D. Thesis, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2007.
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Certainty-Equivalence Feedback Design with Polynomial-Type Feedbacks Which Guarantee ISS. Ebenbauer, C.; Raff, T.; and Allgöwer, F. IEEE Trans.\ Autom.\ Control, 52(4): 716-720. 2007.
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Stability Analysis of Constrained Control Systems: An Alternative Approach. Ebenbauer, C.; and Allgöwer, F. Syst.\ Contr.\ Lett., 56(2): 93-98. 2007.
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A Dissipation Inequality for the Minimum Phase Property of Nonlinear Control Systems. Ebenbauer, C.; and Allgöwer, F. In Bonivento, C.; Marconi, L.; Rossi, C.; and Isidori, A., editor(s), Advances in Control Theory and Applications, volume 353, of Lecture Notes in Control and Information Sciences, pages 71-83. Springer Berlin / Heidelberg, 2007.
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Detecting oscillatory behavior using Lyapunov functions. Ebenbauer, C. In Proc.\ 46th IEEE Conf.\ Decision and Control (CDC), pages 1615-1620, New Orleans, LA, USA, 2007.
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A dynamical system that computes eigenvalues and diagonalizes matrices with a real spectrum. Ebenbauer, C. In Proc.\ 46th IEEE Conf.\ Decision and Control (CDC), pages 1704-1709, New Orleans, LA, USA, 2007.
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A Stabilizing Real-time Implementation of Nonlinear Model Predictive Control. Diehl, M.; Findeisen, R.; and Allgöwer, F. In Biegler, L.; Ghattas, O.; Heinkenschloss, M.; Keyes, D.; and van Bloem Wanders, B., editor(s), Real-Time PDE-Constrained Optimization, pages 23-52. Society for Industrial and Applied Mathematics, Philadephia, PA, USA, 2007.
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On disturbance attenuation of nonlinear moving horizon control. Chen, H.; Gao, X.; Wang, H.; and Findeisen, R. In Findeisen, R.; Biegler, L.; and Allgöwer, F., editor(s), Assessment and Future Directions of Nonlinear Model Predictive Control, volume 358, of Lecture Notes in Control and Information Sciences, pages 283-294. Springer Berlin / Heidelberg, 2007.
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Almost Sure Stability and Transient Behavior of Stochastic Nonlinear Jump Systems Motivated by Networked Control Systems. Blind, R.; Münz, U.; and Allgöwer, F. In Proc.\ 46th IEEE Conf.\ Decision and Control (CDC), pages 3327-3332, New Orleans, LA, USA, 2007.
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  2006 (51)
Feedforward control design under input constraints for a tubular reactor model. Wieland, P.; Meurer, T.; Graichen, K.; and Zeitz, M. In Proc.\ 45th IEEE Conf. Decision and Control (CDC), pages 3968-3973, 2006.
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Preservation of bistability in the reduction of an apoptosis model. Waldherr, S.; Eißing, T.; Chaves, M.; and Allgöwer, F. In Genomes To Systems Conference, Manchester, UK, 2006. Poster
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Hopf bifurcations and feedback gain in signaling pathways. Waldherr, S.; and Allgöwer, F. In Conference on Systems Biology of Mammalian Cells, Heidelberg, Germany, 2006. Poster
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Negative feedback loops in biochemical networks. Waldherr, S. 2006. 3. Stuttgarter Systemtheorie-Kolloquium
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Relating Cross Grammians and Sensitivity Ananlysis in Systems Biology. Streif, S.; Findeisen, R.; and Bullinger, E. In Proc.\ 17th Int.\ Symp.\ Mathematical Theory of Networks and Systems (MTNS), pages 437-442, Kyoto, 2006.
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Output Regulation Problem and Solution for LTV Minimum Phase Systems with Time-varying Exosystem. Shim, H.; Lee, J.; Kim, J.; and Back, J. In SICE-ICASE International Joint Conference 2006, 2006.
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Integration of E-Learning Modules in Automatic Control Education. Schweickhardt, T.; Schumm, P.; Münz, U.; and Allgöwer, F. In Proc.\ 7th IFAC Symp.\ Advances in Control Education, Madrid, Spain, 2006. available online http://www.ifac-papersonline.net/Detailed/29698.html
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Good or bad – when is plant nonlinearity an obstacle for control?. Schweickhardt, T.; and Allgöwer, F. In Proc.\ IFAC Int.\ Symp.\ Advanced Control of Chemical Processes (ADCHEM), pages 37-44, Gramado, Brazil, 2006.
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A robustness approach to linear control of mildly nonlinear processes. Schweickhardt, T.; and Allgöwer, F. Int.\ J.\ Robust and Nonlinear Control, 17(13): 1163 - 1182. 2006.
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An approach to linear control of nonlinear processes. Schweickhardt, T.; and Allgöwer, F. In Proc.\ 16th European Symp.\ Computer Aided Process Engineering (ESCAPE), 9th Int.\ Symp.\ Process Systems Engineering (PSE), pages 1299-1304, Garmisch-Partenkirchen, Germany, 2006.
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Nonlinearity Assessment and Linear Control of Nonlinear Systems. Schweickhardt, T. Ph.D. Thesis, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2006.
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On complexity issues in multiobjective controller design using convex optimization. Rieber, J. M.; Scherer, C. W.; and Allgöwer, F. In Proc.\ 5th IFAC Symp.\ Robust Control Design, Toulouse, France, 2006. available online http://dx.doi.org/10.3182/20060705-3-FR-2907.00003
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Robust $\ell_1$ performance analysis in face of parametric uncertainties. Rieber, J. M.; Scherer, C. W.; and Allgöwer, F. In Proc.\ 45th IEEE Conf.\ Decision and Control (CDC), pages 5826–5831, San Diego, CA, USA, 2006.
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Gain-scheduling in the $\ell_1$ framework: a flight control example. Rieber, J. M.; and Allgöwer, F. In Proc.\ 5th IFAC Symp.\ Robust Control Design, Toulouse, France, 2006. available online http://dx.doi.org/10.3182/20060705-3-FR-2907.00115
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From $\mathcal{H}_{∞}$ control to multiobjective control: an overview. Rieber, J. M.; and Allgöwer, F. at-Automatisierungstechnik, 54(9): 437–449. 2006.
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A Finite Time Unknown Input Observer for Linear Systems. Raff, T.; Lachner, F.; and Allgöwer, F. In Proc.\ 11th Mediterranean Conf.\ Control and Automation (MED), Ancona, Italy, 2006. available online http://dx.doi.org/10.1109/MED.2006.328795
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Nonlinear Model Predictive Control of a Four Tank System: An Experimental Stability Study. Raff, T.; Huber, S.; Nagy, Z. K.; and Allgöwer, F. In Proc.\ IEEE Int.\ Conf.\ Control Applications (CCA), pages 237-242, Munich, Germany, 2006.
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An EKF-based Observer for Nonlinear Time-Delay Systems. Raff, T.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 3130-3133, Minneapolis, MN, USA, 2006.
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Systematic component selection for gene-network refinement. Radde, N.; Gebert, J.; and Forst, C. Bioinformatics, 22(21): 2674-2680. 2006.
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Robust output feedback model predictive control of constrained linear systems. Mayne, D.; Raković, S.; Findeisen, R.; and Allgöwer, F. Automatica, 42(7): 1217-1222. 2006.
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Robust output feedback model predictive control for constrained linear systems under uncertainty based on feed forward and positive invariant feedback control. Mayne, D.; Raković, S.; Findeisen, R.; and Allgöwer, F. In Proc.\ 45th IEEE Conf.\ Decision and Control (CDC), pages 6618-6623, San Diego, CA, USA, 2006.
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Modeling bone adaptation and remodeling initiated by mechanical stimuli. Maldonado, S.; Borchers, S.; Findeisen, R.; and Allgöwer, F. In Bruzzone, A. G.; Guasch, A.; Piera, M. A.; and Rozenblit, J., editor(s), Proc.\ Int.\ Mediterranean Modelling Conf.\, 2nd European Modeling and Simulation Symp.\ (EMSS), pages 403–409, Barcelona, Spain, 2006. ISBN: 84-690-0726-2
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Mathematical Modeling and Analysis of Force Induced Bone Growth. Maldonado, S.; Borchers, S.; Findeisen, R.; and Allgöwer, F. In Proc.\ 28th Annual Int.\ Conf.\ IEEE Engineering in Medicine and Biology Society (EMBC), pages 3154–3157, New York, NY, 2006.
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Modeling and Analysis of Force Induced Bone Growth. Maldonado, S.; Borchers, S.; Findeisen, R.; and Allgöwer, F. International Workshop on Systems Biology, NUI Maynooth, Ireland, July 2006.
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Scheduled optimization of an MMA polymerization process. Lepore, R.; Vande Wouwer, A.; Remy, M.; Findeisen, R.; Nagy, Z.; and Allgöwer, F. In Proc.\ IFAC Int.\ Symp.\ Advanced Control of Chemical Processes (ADCHEM), pages 695–703, Gramado, Brazil, 2006.
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Comparative assessment of old and new suboptimal control schemes on three example processes. Journée, M.; Schweickhardt, T.; and Allgöwer, F. In Proc.\ 13th IFAC Workshop on Control Applications of Optimization, pages 189-194, Paris-Cachan, France, 2006.
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Nonlinear Model Predictive Control of a Turbocharged Diesel Engine. Herceg, M.; Raff, T.; Findeisen, R.; and Allgöwer, F. In Proc.\ IEEE Int.\ Conf.\ Control Applications (CCA), pages 2766-2771, Munich, Germany, 2006.
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A new approach for modeling prokaryotic biochemical networks with differential equations. Gebert, J.; and Radde, N. In Dubois, D., editor(s), AIP Conference Proceedings of 7th International Conference on Computing Anticipatory Systems (CASYS05), volume 839, 2006.
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Nonlinear Model Predictive Control: A Sampled-Data Feedback Perspective. Findeisen, R. Fortschr.-Ber. VDI Reihe 8 Nr. 1087, VDI Verlag, Düsseldorf, 2006.
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Results towards Identifiability Properties of Biochemical Reaction Networks. Farina, M.; Findeisen, R.; Bullinger, E.; Bittanti, S.; Allgöwer, F.; and Wellstead, P. In Proc.\ 45th IEEE Conf.\ Decision and Control (CDC), pages 2104-2109, San Diego, CA, USA, 2006.
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Sensitivity analysis of programmed cell death and implications for crosstalk phenomena during Tumor Necrosis Factor stimulation. Eißing, T.; Waldherr, S.; Bullinger, E.; Gondro, C.; Sawodny, O.; Allgöwer, F.; Scheurich, P.; and Sauter, T. In Proc.\ IEEE Int.\ Conf.\ Control Applications (CCA), pages 1746-1752, Munich, Germany, 2006.
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Modelling and Analysis of Death and Survival Signalling: Achievements and Trends. Eißing, T.; Waldherr, S.; Allgöwer, F.; and Bullinger, E. In Workshop CNRS-NSF - Biology and control theory: current challenges, Toulouse, France, 2006.
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Mathematical modeling of TNF induced apoptotic and anti-apoptotic crosstalk in mammalian cells. Eißing, T.; Sauter, T.; Schliemann, M.; Bullinger, E.; Allgöwer, F.; Sawodny, O.; and Scheurich, P. In Conference on Systems Biology of Mammalian Cells (SBMC), pages 66, 2006.
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Bistability in cell signalling and applications to apoptosis - principles and robustness aspects. Eißing, T.; Allgöwer, F.; Scheurich, P.; and Bullinger, E. In Proceedings of the Hamilton Institute International Workshop on Systems Biology, pages 39, NUI Maynooth, Ireland, July 2006.
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Simplicity and Complexity in Modeling and Analysis of Biological Signal Transduction: About and Beyond Cell Death. Eißing, T. March 2006. Talk at the 3rd International Symposium of the IST, Hirschegg, Austria
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Apoptosis Signaling: Mathematical Modeling and Analysis as a Bistable System. Eißing, T. September 2006. Talk at the University of Massachusetts Amherst, MA, USA
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Analysis and design of polynomial control systems using dissipation inequalities and sum of squares. Ebenbauer, C.; and Allgöwer, F. Comp.\ & Chem.\ Eng., 30: 1601-1614. 2006.
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Polynomial Control Systems: Analysis and Design via Dissipation Inequalities. Ebenbauer, C.; and Allgöwer, F. In Proc. of the 7th Chemical Process Control Conference (CPC), Lake Lousie, Canada, 2006. CDROM
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Stability analysis for time-delay systems using Rekasius's substitution and sum of squares. Ebenbauer, C.; and Allgöwer, F. In Proc.\ 45th IEEE Conf.\ Decision and Control (CDC), pages 5376–5381, San Diego, CA, USA, 2006.
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Methods of robustness analysis for Boolean models of gene control networks. Chaves, M.; Sontag, E. D.; and Albert, R. IEE Systems Biology, 153(4): 154-167. July 2006.
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Structure and timescale analysis in genetic regulatory networks. Chaves, M.; Sontag, E.; and Albert, R. In Proc.\ 45th IEEE Conf.\ Decision and Control (CDC), pages 2358-2363, Dec. 2006.
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Identifying mechanisms for bistability in an apoptosis network. Chaves, M.; Eißing, T.; and Allgöwer, F. In Réseaux d'Interactions: Analyse, Modélisation et Simulation (RIAMS'06), Lyon, France, 2006.
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Stability of rate-controlled zero-deficiency networks. Chaves, M. In Proc.\ 45th IEEE Conf.\ Decision and Control (CDC), pages 5766-5771, Dec. 2006.
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System and control theory allows to further understanding of biological signal transduction. Bullinger, E.; Findeisen, R.; Kalamatianos, D.; and Wellstead, P. In 2006. Proceedings of Workshop CNRS-NSF Biology and control theory: current challenges, Toulouse, France
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Modeling the bone remodeling cycle due to mechanical force. Borchers, S.; Maldonado, S.; Findeisen, R.; and Allgöwer, F. In Bruzzone, A. G.; Guasch, A.; Piera, M. A.; and Rozenblit, J., editor(s), Proc.\ Int.\ Mediterranean Modelling Conf.\, 2nd European Modeling and Simulation Symp.\ (EMSS), pages 385–394, Barcelona, Spain, 2006. ISBN: 84-690-0726-2
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Modeling the bone remodeling cycle due to mechanical force. Borchers, S.; Maldonado, S.; Findeisen, R.; and Allgöwer, F. J.\ Bone. V 39(5) S15–S16, November 2006. International Conference on Progress in Bone Mineral Research 2006
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Theory, algorithms and technology in the design of control systems. Bars, R.; Colaneri, P.; de Souza, C.; Dugard, L.; Allgöwer, F.; Kleimenov, A.; and Scherer, C. Annual Reviews in Control, 30: 19-30. 2006.
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Constrained derivative-free augmented state estimation for a diesel engine air path. Aßfalg, J.; Allgöwer, F.; and Fritz, M. In Proc.\ 14th IFAC Symp.\ System Identification (SYSID), pages 1382-1387, Newcastle, Australia, 2006.
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Fault diagnosis of constrained nonlinear systems using structured augmented state models. Aßfalg, J.; and Allgöwer, F. In Proc. IFAC SAFEPROCESS, pages 1375-1380, Beijing, China, 2006.
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Fault diagnosis with structured augmented state models: Modeling, analysis, and design. Aßfalg, J.; and Allgöwer, F. In Proc.\ 45th IEEE Conf.\ Decision and Control (CDC), pages 1165-1170, San Diego, CA, USA, 2006.
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Iteratively Improving Moving Horizon Observers for Repetitive Processes. Alvarado, I.; Findeisen, R.; Kühl, P.; Limón, D.; and Allgöwer, F. 2006. Proceedings of the joint CTS-HYCON workshop
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  2005 (44)
Complexity reduction of a thin film deposition model using a trajectory based nonlinear model reduction technique. Wolfrum, P.; Vargas, A.; Gallivan, M.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 2566-2571, Portland, OR, USA, 2005.
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Object-Oriented Bayesian Networks for Condition Monitoring, Root Cause Analysis and Decision Support on Operation of Complex Continuous Processes: Methodology & Applications. Weidl, G.; Madsen, A.; and Israelsson, S. Technical Report Institute for Systems Theory in Engineering, 2005. 36 pages, shorter version to appear in Computers & Chemical Engineering, 2005
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Applications of Object-Oriented Bayesian Networks for Condition Monitoring, Root Cause Analysis and Decision Support on Operation of Complex Continuous Processes. Weidl, G.; Madsen, A.; and Israelsson, S. Comp.\ & Chem.\ Eng., 29: 1996-2009. 2005.
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Flatness-based optimal noncausal output transitions for constrained nonlinear systems: Case study on an isothermal continuously stirred tank reactor. Wang, G.; Zeitz, M.; and Allgöwer, F. IEE Control Theory Appl., 152(1): 105-112. 2005.
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Control strategies towards faster quantitative imaging in atomic force microscopy. Stemmer, A.; Schitter, G.; Rieber, J. M.; and Allgöwer, F. European J.\ Control, 11(4-5): 384–395. 2005.
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Linear modeling error and steady-state behaviour of nonlinear dynamical systems. Schweickhardt, T.; and Allgöwer, F. In Proc.\ 44th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC), pages 8150-8155, Seville, Spain, 2005.
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Mathematical modeling of TNF induced apoptotic and anti-apoptotic crosstalk in mammalian cells. Sauter, T.; Schliemann, M.; Eißing, T.; Bullinger, E.; Gilles, E. D.; Allgöwer, F.; and Scheurich, P. In 6th International Conference on Systems Biology, Boston, MA, 2005.
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Cellect, project C4: Mathematical modeling of cellular regulation networks of apoptosis and cell proliferation. Sauter, T.; Saez-Rodriguez, J.; Conzelmann, H.; Eißing, T.; Gilles, E. D.; and Scheurich, P. In 2nd BMBF Colloquium 'Proteomics', Potsdam, Germany, 2005. May 30 - Jun 1
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Complex dynamic modeling and linear model predictive control of a fluid catalytic cracking process. Roman, R.; Nagy, Z.; Allgöwer, F.; Agachi, S.; and Cristea, M. In Proc.\ 14th Romanian Int.\ Conf.\ Chemistry and Chemical Engineering (RICCE), pages 116-123, Bucharest, Romania, 2005.
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Dynamic Modeling and Nonlinear Model Predictive Control of a Fluid Catalytic Cracking Unit. Roman, R.; Nagy, Z.; Allgöwer, F.; and Agachi, S. In Science, E., editor(s), Proc.\ 15th European Symp.\ Computer Aided Process Engineering (ESCAPE), pages 1363-1368, Barcelona, Spain, 2005.
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First principles modeling and nonlinear optimization based estimation and control of a fluid catalytic cracking unit. Roman, R.; Nagy, Z.; Agachi, S.; and Allgöwer, F. 2005.
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Experimental application of $\ell_1$-optimal control in atomic force microscopy. Rieber, J. M.; Schitter, G.; Stemmer, A.; and Allgöwer, F. In Proc.\ 16th IFAC World Congress, Prague, Czech Republic, 2005. available online http://dx.doi.org/10.3182/20050703-6-CZ-1902.00511
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State-space formulas for gain-scheduled $\ell_1$-optimal controllers. Rieber, J. M.; Fritsch, A.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 609–614, Portland, OR, USA, 2005.
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Mixed $\ell_1/\mathcal{H}_{∞}$ control of MIMO systems: a linear matrix inequality approach. Rieber, J. M.; and Allgöwer, F. Technical Report Institute for Systems Theory in Engineering, University of Stuttgart, Stuttgart, Germany, Feb. 2005.
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$H_{∞}$ Control of Descriptor Systems in a Differential Inclusion Setting. Rehm, A.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 4303-4308, Portland, OR, USA, 2005.
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A Finite Time Functional Observer for Linear Systems. Raff, T.; Menold, P. H.; Ebenbauer, C.; and Allgöwer, F. In Proc.\ 44th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC), pages 7198-7203, Seville, Spain, 2005.
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Nonlinear Model Predictive Control and Sum of Squares Techniques. Raff, T.; Findeisen, R.; Ebenbauer, C.; and Allgöwer, F. In Diehl, M.; and Mombaur, K., editor(s), Fast Motions in Biomechanics and Robotics - Optimization and Feedback Control, volume 340, of Lecture Notes in Control and Information Sciences, pages 325-344. Springer Berlin / Heidelberg, 2005.
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Remarks on Moving Horizon State Estimation with Guaranteed Convergence. Raff, T.; Ebenbauer, C.; Findeisen, R.; and Allgöwer, F. In Meurer, T.; Graichen, K.; and Gilles, E., editor(s), Control and Observer Design for Nonlinear Finite and Infinite Dimensional Systems, of Lecture Notes in Control and Information Sciences, pages 67-80. Springer Berlin / Heidelberg, 2005.
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Nonlinear Model Predictive Control: A Passivity-based Approach. Raff, T.; Ebenbauer, C.; and Allgöwer, F. In International Workshop on Assessment and Future Directions of Nonlinear Model Predictive Control, 2005. CD
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Sensitivity Analysis of Escherichia coli's Tricarboxilic Acid Cycle under Anaerobic Conditions. Ofiteru, I.; Lavric, V.; Allgöwer, F.; and Bullinger, E. In Proc.\ 3rd Foundations of Systems Biology in Engineering (FOSBE), pages 337–340, Santa Barbara, CA, USA, 2005.
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A real-time approach for moving horizon estimation based nonlinear model predictive control of a fluid catalytic cracking unit. Nagy, Z.; Roman, R.; Agachi, S.; and Allgöwer, F. In Proc.\ 7th World Congress of Chemical Engineering, pages 504-510, Glasgow, Scotland, 2005.
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First principles modeling and nonlinear optimization based estimation and control of a fluid catalytic cracking unit. Nagy, Z.; Roman, R.; Agachi, S.; and Allgöwer, F. Studia Universitatis Babes-Bolyai. Ser.\ Chemia, (2). 2005. Paper No. 10
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Nonlinear model predictive control of batch processes: an industrial case study. Nagy, Z.; Mahn, B.; Ruediger, F.; and Allgöwer, F. In Proc.\ 16th IFAC World Congress, Prague, Czech Republic, 2005. available online http://dx.doi.org/10.3182/20050703-6-CZ-1902.01576
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Parametric Fault Diagnosis in Stochastic Dynamical Systems. Münz, U.; and Zufiria, P. J. In Proceedings of the 19th CEDYA 2005, Madrid, Spain, 2005.
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Compensation of time-varying harmonic disturbances on nonlinear bearingless slice motors. Hüttner, C.; Rieber, J. M.; Allgöwer, F.; and Hugel, J. In Proc.\ 16th IFAC World Congress, Prague, Czech Republic, 2005. available online http://dx.doi.org/10.3182/20050703-6-CZ-1902.02166
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Output-Feedback Nonlinear Model Predictive Control for Chemical Processes without the Need of Fast Observers. Findeisen, R.; and Allgöwer, F. AIChE Annual Meeting 2005, Cincinnati, Ohio, 2005.
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Modeling and Analysis of Bone Growth and Remodeling. Findeisen, R.; and Allgöwer, F. AIChE Annual Meeting 2005, Cincinnati, Ohio, 2005.
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Robustness Properties and Output Feedback of Optimization Based Sampled-data Open-loop feedback. Findeisen, R.; and Allgöwer, F. In Proc.\ 44th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC), pages 54-59, Seville, Spain, 2005.
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To Be or Not to Be - Mathematical Systems Theory to Analyze Biological Signal Processing. Eißing, T.; Scheurich, P.; and Allgöwer, F. in Themenheft Forschung, volume 1, pages 32-40, Universität Stuttgart, Germany, 2005.
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System Properties of the Core Reactions of Apoptosis. Eißing, T.; Cimatoribus, C.; Allgöwer, F.; Scheurich, P.; and Bullinger, E. In 1st FEBS Advanced Lecture Course Systems Biology, pages 164, Gosau, Austria, 2005.
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Robustness properties of apoptosis models with respect to parameter variations and stochastic influences. Eißing, T.; Allgöwer, F.; and Bullinger, E. IEE Systems Biology, 152(4): 221-228. 2005.
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Mathematical Modeling and System Analysis of Tumor Necrosis Factor Signaling Pathways. Eißing, T. March 2005. Talk at the 2nd International Symposium of the IST, Hirschegg, Austria
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Polynomial Feedback and Observer Design using Nonquadratic Lyapunov Functions. Ebenbauer, C.; Renz, J.; and Allgöwer, F. In Proc.\ 44th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC), pages 7587-7592, Seville, Spain, 2005.
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A duality-based LPV Approach to Polynomial State Feedback Design. Ebenbauer, C.; Raff, T.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 703-708, Portland, OR, USA, 2005.
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Passivity-based Feedback Design for Polynomial Control Systems. Ebenbauer, C.; Raff, T.; and Allgöwer, F. at-Automatisierungstechnik, 8: 356-366. 2005.
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A Simple Separation Result for Control Affine Systems. Ebenbauer, C.; Raff, T.; and Allgöwer, F. In Proc.\ 16th IFAC World Congres, 2005. available online http://dx.doi.org/10.3182/20050703-6-CZ-1902.00831
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Polynomial Control Systems: Analysis and Design via Dissipation Inequalities and Sum of Square. Ebenbauer, C. Ph.D. Thesis, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2005.
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Nominal stability of the real-time iteration scheme for nonlinear model predictive control. Diehl, M.; Findeisen, R.; Bock, H.; Schlöder, J.; and Allgöwer, F. IEE Control Theory Appl., 152(3): 296-308. 2005.
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Model discrimination tools in apoptosis. Cimatoribus, C.; Eißing, T.; Elvassore, N.; Allgöwer, F.; and Bullinger, E. In Proc.\ 3rd Foundations of Systems Biology in Engineering (FOSBE), pages 197-200, Santa Barbara, CA, USA, 2005.
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Adaptive $λ$-tracking for nonlinear higher relative degree systems. Bullinger, E.; and Allgöwer, F. Automatica, 41(7): 1191–2000. 2005.
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System Analysis of a Programmed Cell Death Model. Bullinger, E. In Proc.\ 44th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC), pages 7994-7999, 2005.
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Theory, algorithms and technology in the design of control systems. Bars, R.; Colaneri, P.; de Souza, C.; Dugard, L.; Allgöwer, F.; Kleimenov, A.; and Scherer, C. In Proc.\ 16th IFAC World Congress, pages 122-131, Prague, Czech Republic, 2005.
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State Estimation for Repetitive Processes Using Iteratively Improving Moving Horizon Observers. Alvarado, I.; Findeisen, R.; Kühl, P.; Limón, D.; and Allgöwer, F. In Proc.\ 44th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC), pages 7756-7761, Seville, Spain, 2005.
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Editorial: Nonlinear Model Predictive Control. Allgöwer, F. IEE Control Theory Appl., 152(3): 257-258. 2005.
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  2004 (48)
Nonlinear Control Systems 2004. Allgöwer, F.; and Zeitz, M., editors. Elsevier, Oxford, UK, 2004.
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Advanced Control of Chemical Processes. Allgöwer, F.; and Gao, F., editors. Elsevier, Oxford, UK, 2004.
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Model Predictive Control of Linear Continuous Time Singular Systems Subject to Input Constraints. Yonchev, A.; Findeisen, R.; Ebenbauer, C.; and Allgöwer, F. In Proc.\ 43rd IEEE Conf.\ Decision and Control (CDC), pages 2047-2052, Atlantis, Paradise Island, Bahamas, 2004.
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Automatische Ursachen Analyse von Fehlern und Störungen in Walzwerken - eine Übersicht und praktische Beispiele. Weidl, G.; Rode, M.; Horch, A.; Shaw, C.; and Vollmer, A. In Tagungsband 5.AKIDA, Aachener Kolloquium f�r Instandhaltung, Diagnose und Anlagen�berwachung, Aachen,Germany, pages 399-410, 2004. ISBN 3-86130-217-9, to appear as invited paper in Journal "Stahl und Eisen", 2005
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Adaptive Risk Assessment in Complex Large Scale Processes with Reduced Computational Complexity. Weidl, G. In 9th International Conference on Industrial Engineering Theory, Applications and Practice, pages 72-78, Auckland, New Zealand, November 2004.
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Model reduction for process control using iterative nonlinear identification. Vargas, A.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 2915-2920, Boston, MA, USA, 2004.
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Plant and Control-relevant Nonlinearity Analysis of a CSTR: a Case Study. Shastri, Y.; Schweickhardt, T.; and Allgöwer, F. In Proc.\ 7th IFAC Symp.\ Dynamics and Control of Process Systems (DYCOPS), pages 89-94, Cambridge, MA, USA, 2004.
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Quantitative nonlinearity assessment – An introduction to nonlinearity measures. Schweickhardt, T.; and Allgöwer, F. In Georgiadis, M.; and Seferlis, P., editor(s), The Integration of Design and Control, of Computer-aided chemical engineering, pages 76-95. Elsevier Science, 2004.
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Trajectory-based approximate optimal controller synthesis. Schweickhardt, T.; and Allgöwer, F. Technical Report Institute for Systems Theory in Engineering, University of Stuttgart, Germany, 2004.
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Integration und Interaktion: Möglichkeiten des Einsatzes von Notebook und Internet in der regelungstechnischen Ausbildung. Schumm, P.; Schweickhardt, T.; Bullinger, E.; and Allgöwer, F. at-Automatisierungstechnik, 2(2): 81-89. 2004.
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Robust two-degree-of-freedom control of an atomic force microscope. Schitter, G.; Stemmer, A.; and Allgöwer, F. Asian J.\ Control, 6(2): 156-163. 2004.
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A new control strategy for high-speed atomic force microscopy. Schitter, G.; Allgöwer, F.; and Stemmer, A. Nanotechnology, 15: 108-114. 2004.
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Detailed mathematical modeling of metabolic and regulatory networks. Sauter, T.; and Bullinger, E. BIOforum Europe, 2004(2): 62-64. 2004.
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The ROBORACE contest. Rieber, J. M.; Wehlan, H.; and Allgöwer, F. IEEE Control Systems Magazine, 24(5): 57–60. 2004.
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Integrated control system and mechanical design of a compliant two-axes mechanism. Rieber, J. M.; and Taylor, D. G. Mechatronics, 14(9): 1069–1087. 2004.
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Schneller sehen durch Regelungstechnik – Moderne Bildgebung in der Nanotechnologie. Rieber, J. M.; Allgöwer, F.; and Stemmer, A. in Wechselwirkungen, pages 100–108, Universität Stuttgart, Germany, 2004.
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$H_{∞}$ control of descriptor systems: An application from binary distillation control. Rehm, A.; and Allgöwer, F. In Proc.\ IFAC Int.\ Symp.\ Advanced Control of Chemical Processes (ADCHEM), pages 351-356, Hong Kong, China, 2004.
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Causal $ H_∞$ Control of Discrete-time Descriptor Systems: An LMI Approach in two Steps. Rehm, A.; and Allgöwer, F. In Proc.\ 16th Int.\ Symp.\ Mathematical Theory of Networks and Systems (MTNS), Leuven, Belgium, 2004.
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$H_∞$ Regelung von zeitdiskreten Deskriptorsystemen. Rehm, A.; and Allgöwer, F. at-Automatisierungstechnik, 52(9): 440-445. 2004.
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Control of Linear Descriptor Systems: A Matrix Inequality Approach. Rehm, A. Fortschr.-Ber. VDI Reihe 8 Nr. 1019, VDI Verlag, Düsseldorf, 2004.
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Model Predictive Control of Discrete Time Polynomial Control Systems: A Convex Approach. Raff, T.; Findeisen, R.; Ebenbauer, C.; and Allgöwer, F. In Proc.\ 2nd IFAC Symp.\ Systems, Structure, and Control (SSSC), pages 158-163, Oaxaca, Mexico, 2004.
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Passivity-based Nonlinear Dynamic Output Feedback Design: A Semidefinite Programming Approach. Raff, T.; Ebenbauer, C.; and Allgöwer, F. In Proc.\ 43rd IEEE Conf.\ Decision and Control (CDC), pages 5409-5414, Atlantis, Paradise Island, Bahamas, 2004.
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Feedback Passivation of an Electrostatic Microactuator: A Semidefinite Programming Approach. Raff, T.; Ebenbauer, C.; and Allgöwer, F. In Proc.\ 6th IFAC Symp.\ Nonlinear Control Systems (NOLCOS), pages 1181-1186, Stuttgart, Germany, 2004.
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Hierarchical nonlinear model predictive control of an industrial batch reactor. Nagy, Z.; Findeisen, R.; and Allgöwer, F. In Proc.\ Symp.\ Knowledge Driven Batch Processes (BatchPro), pages 203-210, Poros, Greece, 2004.
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Nonlinear Model Predictive Control of Batch Processes. Nagy, Z.; Findeisen, R.; and Allgöwer, F. 13-th European Conference on Mathematics for Industry, ECMI 2004, Eindhovem, The Netherlands, 2004.
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Nonlinear model predictive control approach for robust run-to-run control of batch processes. Nagy, Z.; Findeisen, R.; and Allgöwer, F. AIChE Annual Meeting 2004, Austin, TX, 2004.
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Efficient tool for nonlinear model predictive control of batch processes. Nagy, Z.; Allgöwer, F.; Ruediger, F.; and Mahn, B. In Proc.\ 12th Mediterranean Conf.\ Control and Automation (MED), pages 1128-1134, Kusadasi, Turkey, 2004.
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Nonlinear model predictive control: from chemical industries to microelectronics. Nagy, Z.; and Allgöwer, F. In Proc.\ 43rd IEEE Conf.\ Decision and Control (CDC), pages 4249-4254, Atlantis, Paradise Island, Bahamas, 2004.
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Internet-based interactive remote laboratory for educational experiments. Nagy, Z.; and Agachi, S. P. In AIChE, editor(s), Proc. of the AIChE Annual Meeting, 2004.
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Finite and Asymptotic Time State Estimation for Linear and Nonlinear Systems. Menold, P. H. Ph.D. Thesis, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2004.
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On open- and closed-loop control of an MMA polymerization reactor. Lepore, R.; Findeisen, R.; Vande Wouwer, A.; Allgöwer, F.; and Remy, M. In Proc.\ 23rd Benelux Meeting on Systems and Control, Helvoirt, The Netherlands, 2004.
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Optimal Open- and Closed-Loop Control for Disturbance Rejection in Batch Process Control: a MMA Polymerization Example. Lepore, R.; Findeisen, R.; Nagy, Z.; Allgöwer, F.; and Vande Wouwer, A. In Proc.\ Symp.\ Knowledge Driven Batch Processes (BatchPro), pages 235-241, Poros, Greece, 2004.
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A benchmark for methods in reverse engineering and model discrimination: problem formulation and solutions. Kremling, A.; Fischer, S.; Doyle III, F.; Gadkar, K.; Sauter, T.; Bullinger, E.; Allgöwer, F.; and Gilles, E. Genome Research, 14(9): 1773–1785. 2004.
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Prädiktive Ausgangsregelung nichtlinearer verfahrenstechnischer Prozesse: Praktische und theoretische Aspekte. Findeisen, R.; Raff, T.; and Allgöwer, F. GVC/DECHEMA-Fachausschusses Sitzung, Grünstadt-Asselheim, Germany, 2004.
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Computational Delay in Nonlinear Model Predictive Control. Findeisen, R.; and Allgöwer, F. In Proc.\ IFAC Int.\ Symp.\ Advanced Control of Chemical Processes (ADCHEM), pages 427-432, Hong Kong, China, 2004.
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Stabilization Using Sampled-data Open-Loop Feedback – a Nonlinear Model Predictive Control Perspective. Findeisen, R.; and Allgöwer, F. In Proc.\ 6th IFAC Symp.\ Nonlinear Control Systems (NOLCOS), pages 735-740, Stuttgart, Germany, 2004.
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Min-max output feedback predictive control with guaranteed stability. Findeisen, R.; and Allgöwer, F. In Proc.\ Int.\ Symp.\ Mathematical Theory of Networks and Systems (MTNS), Katholieke Universiteit Leuven, Belgium, 2004. ISBN 90-5682-517-8, CD-Rom
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Prädiktive Ausgangsregelung mit Stabilitätsgarantie. Findeisen, R.; and Allgöwer, F. GMA-Fachausschuss Sitzung, Interlaken, Switzerland, 2004.
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Nonlinear model predictive control : a sampled data feedback perspective. Findeisen, R. Ph.D. Thesis, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2004.
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Mathematical modeling applied to caspase activation downstream of death receptors: A missing guardian for caspase 8. Eißing, T.; Conzelmann, H.; Zimmermann, G.; Branschädel, M.; Cimatoribus, C.; Sauter, T.; Gilles, E. D.; Allgöwer, F.; Bullinger, E.; and Scheurich, P. In 2nd International Symposium of the SFB 495, Hohenheim, Germany, 2004.
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Bistability analyses of a caspase activation model for receptor induced apoptosis. Eißing, T.; Conzelmann, H.; Gilles, E. D.; Allgöwer, F.; Bullinger, E.; and Scheurich, P. J.\ Biol.\ Chem., 279(35): 36892-36897. 2004.
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Mathematical modeling applied to caspase activation reveals a requirement for additional control. Eißing, T.; Conzelmann, H.; Gilles, E. D.; Allgöwer, F.; Bullinger, E.; and Scheurich, P. In 5th International Conference on Systems Biology, pages 207, Heidelberg, Germany, 2004.
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Mathematical modeling and system analysis of caspase activation. Eißing, T.; Conzelmann, H.; Gilles, E. D.; Allgöwer, F.; Bullinger, E.; and Scheurich, P. In International Workshop on Theoretical Biophysics, pages 11, Hiddensee Island, Germany, 2004.
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Nonlinear High-Gain Observer Design via Semidefinite Programming. Ebenbauer, C.; Findeisen, R.; and Allgöwer, F. In Proc.\ 2nd IFAC Symp.\ Systems, Structure, and Control (SSSC), pages 751-756, Oaxaca, Mexico, 2004.
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Computer-aided stability analysis of differential-algebraic equations. Ebenbauer, C.; and Allgöwer, F. In Proc.\ 6th IFAC Symp.\ Nonlinear Control Systems (NOLCOS), pages 1025–1029, Stuttgart, Germany, 2004.
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Minimum-Phase Property of Nonlinear Systems in Terms of a Dissipation Inequality. Ebenbauer, C.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 1737–1742, Boston, MA, USA, 2004.
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Reduction of mathematical models of signal transduction networks: Simulation-based approach applied to EGF receptor signaling. Conzelmann, H.; Saez-Rodriguez, J.; Sauter, T.; Bullinger, E.; Allgöwer, F.; and Gilles, E. D. IEE Systems Biology, 1(1): 159–169. 2004.
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Nonlinear Model Predictive Control: From Theory to Application. Allgöwer, F.; Findeisen, R.; and Nagy, Z. J.\ Chin.\ Inst.\ Chem.\ Eng., 35(3): 299-315. 2004.
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  2003 (28)
Nonlinearity quantification for the optimal state feedback controller. Schweickhardt, T.; Allgöwer, F.; and Doyle III, F. J. In Proc.\ European Control Conf.\ (ECC), pages 4611-4617, Cambridge, U.K., 2003.
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The optimal control law nonlinearity measure: Improving control-relevant nonlinearity assessment. Schweickhardt, T.; Allgöwer, F.; and Doyle III, F. J. In AIChE Annual Meeting, San Francisco, CA, USA, 2003. Paper CAST 10B02-440C
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How Nonlinear is Nonlinear? An Approach to Nonlinearity Quantification. Schweickhardt, T.; and Allgöwer, F. In van de Wal, M., editor(s), Proceedings of the 7th Philips Conference on Applications of Control Technology (PACT'03), pages 1-14, 2003.
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Der Einsatz neuer Medien in der regelungstechnischen Ausbildung. Schumm, P.; Schweickhardt, T.; Bullinger, E.; and Allgöwer, F. In Proc.\ GMA-Kongress, pages 1061-1068, Baden-Baden, Germany, 2003.
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Robust 2DOF-control of a piezoelectric tube scanner for high speed atomic force microscopy. Schitter, G.; Stemmer, A.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 3720-3725, Denver, CO, USA, 2003.
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An approach to gain-scheduled $\ell_1$-optimal control of linear parameter-varying systems. Rieber, J. M.; and Allgöwer, F. In Proc.\ 42nd IEEE Conf.\ Decision and Control (CDC), pages 6109–6114, Maui, HI, USA, 2003.
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$H_{∞}$ control of descriptor systems: An application from binary distillation control. Rehm, A.; and Allgöwer, F. In Proc.\ European Control Conf.\ (ECC), Cambridge, UK, 2003. paper ID BA-9
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Finite time convergent observers for linear time-varying systems. Menold, P. H.; Findeisen, R.; and Allgöwer, F. In Proc.\ 11th Mediterranean Conf.\ Control and Automation (MED), Rhodes, Greece, 2003. on CD, paper t7-078
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Finite time convergent observers for nonlinear systems. Menold, P. H.; Findeisen, R.; and Allgöwer, F. In Proc.\ 42nd IEEE Conf.\ Decision and Control (CDC), pages 5673–5678, Maui, HI, USA, December 2003.
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Finite time convergent observer. Menold, P. H.; and Allgöwer, F. In AIChE Annual Meeting, San Francisco, CA, USA, 2003.
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Robust model predictive control for nonlinear discrete-time systems. Magni, L.; de Nicolao, G.; Scattolini, R.; and Allgöwer, F. Int.\ J.\ Robust and Nonlinear Control, 13(3-4): 229-246. 2003.
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A note on stability, robustness and performance of output feedback nonlinear model predictive control. Imsland, L.; Findeisen, R.; Bullinger, E.; Allgöwer, F.; and Foss, B. J.\ Proc.\ Contr., 13(7): 633-644. 2003.
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Output Feedback Stabilization with Nonlinear Predictive Control - Asymptotic properties. Imsland, L.; Findeisen, R.; Allgöwer, F.; and Foss, B. In Proc.\ American Control Conf.\ (ACC), pages 4908-4913, Denver, CO, USA, 2003.
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Output feedback stabilization with nonlinear predictive control: Asymptotic properties. Imsland, L.; Findeisen, R.; Allgöwer, F.; and Foss, B. Int.\ J.\ Modelling, Identification and Control, 24(3): 169-179. 2003.
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Relationship between control-relevant nonlinearity and performance objective. Hernjak, N.; Doyle III, F. J.; Allgöwer, F.; and Schweickhardt, T. In IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM), pages 543-548, Hong Kong, China, 2003.
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Output Feedback Stabilization for Constrained Systems with Nonlinear Model Predictive Control. Findeisen, R.; Imsland, L.; Allgöwer, F.; and Foss, B. Int.\ J.\ Robust and Nonlinear Control, 13(3-4): 211-227. 2003.
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Stability Conditions for Observer Based Output Feedback Stabilization with Nonlinear Model Predictive Control. Findeisen, R.; Imsland, L.; Allgöwer, F.; and Foss, B. In Proc.\ 42nd IEEE Conf.\ Decision and Control (CDC), pages 1425–1430, Maui, HI, USA, 2003.
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Output-feedback Nonlinear Model Predictive Control using High-Gain Observers in Original Coordinates. Findeisen, R.; Imsland, L.; Allgöwer, F.; and Foss, B. In Proc.\ European Control Conf.\ (ECC), pages 2061-2066, Cambridge, UK, 2003.
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State and Output Feedback Nonlinear Model Predictive Control: An Overview. Findeisen, R.; Imsland, L.; Allgöwer, F.; and Foss, B. European J.\ Control, 9(2-3): 179-195. 2003.
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Towards a Sampled-Data Theory for Nonlinear Model Predictive Control. Findeisen, R.; Imsland, L.; Allgöwer, F.; and Foss, B. In Kang, C.; Xiao, M.; and Borges, W., editor(s), New Trends in Nonlinear Dynamics and Control, and their Applications, volume 295, of Lecture Notes in Control and Information Sciences, pages 295-311. Springer Berlin / Heidelberg, 2003.
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The Quasi-Infinite Horizon Approach to Nonlinear Model Predictive Control. Findeisen, R.; and Allgöwer, F. In Zinober, A.; and Owens, D., editor(s), Nonlinear and Adaptive Control, volume 281, of Lecture Notes in Control and Information Sciences, pages 89-108. Springer Berlin / Heidelberg, 2003.
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Theorie und Anwendung der nichtlinearen prädiktiven Regelung. Findeisen, R.; and Allgöwer, F. In Proc. of GMA-Gesellschaft für Meß- und Automatisierungstechnik annual meeting, Baden-Baden, Germany, 2003.
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Nonlinear Model Predictive Control. Findeisen, R.; and Allgöwer, F. 2003. Gesellschaft für Angewandte Mathematik und Mechanik Annual Meeting, GAMM, University of Padua, Italy
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Modeling Signal Transduction Pathways at the Example of Tumor Necrosis Factor signaling. Eißing, T. March 2003. Talk at the 1st International Symposium of the IST, Hirschegg, Austria
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An Approach for Dividing Models of Biological Reaction Networks into Functional Units. Ederer, M.; Sauter, T.; Bullinger, E.; Gilles, E.; and Allgöwer, F. Simulation: Trans.\ Society for Modeling and Simulation International, 79(12): 703–716. 2003.
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An Efficient Approach for Nonlinear Model Predictive Control of Large-Scale Systems. Part II: Experimental Evaluation Considering the Control of a Distillation Column. Diehl, M.; Findeisen, R.; Schwarzkopf, S.; Uslu, I.; Allgöwer, F.; Bock, H.; and Schlöder, J. at-Automatisierungstechnik, 51(1): 22-29. 2003.
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Stability of Nonlinear Model Predictive Control in the Presence of Errors due to Numerical Online Optimization. Diehl, M.; Findeisen, R.; Allgöwer, F.; Schlöder, J.; and Bock, H. In Proc.\ 42nd IEEE Conf.\ Decision and Control (CDC), pages 1419-1424, Maui, HI, USA, 2003.
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Nonlinear Model Predictive Control. Allgöwer, F.; Findeisen, R.; and Ebenbauer, C. Encyclopedia for Life Support Systems (EOLSS), Control Systems, Robotics and Automation - Vol. XI, 2003.
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  2002 (21)
A mathematical model of TNF receptor interaction. Schoeberl, B.; Eißing, T.; Fotin, M.; Gilles, E. D.; and Scheurich, P. In 1st International Symposium of the SFB 495, Stuttgart, Germany, 2002.
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Disturbance Attenuation with Actuator Constraints by Hybrid State Feedback Control. Scherer, C.; Chen, H.; and Allgöwer, F. In Proc.\ 41st IEEE Conf.\ Decision and Control (CDC), pages 4134-4139, Las Vegas, NV, USA, 2002.
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An LMI Approach towards $H_{∞}$ Control of Discrete-time Descriptor Systems. Rehm, A.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 614-619, Minneapolis, MN, USA, 2002.
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An LMI Approach towards Stabilization of Discrete-time Descriptor Systems. Rehm, A.; and Allgöwer, F. In Proc.\ 15th IFAC World Congress, Barcelona, Spain, 2002. available online http://dx.doi.org/10.3182/20020721-6-ES-1901.00174
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General quadratic performance analysis and synthesis of differential algebraic equation (DAE) systems. Rehm, A.; and Allgöwer, F. J.\ Proc.\ Contr., 12(4): 467-474. 2002.
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The tradeoff between modelling complexity and real-time feasibility in nonlinear model predictive control. Nagy, Z.; Agachi, S. P.; Allgöwer, F.; Findeisen, R.; Diehl, M.; Bock, H.; and Schlöder, J. In Proc.\ 6th World Multiconference on Systemics, Cybernetics and Informatics (SCI), pages 329-334, Orlando, FL, USA, 2002.
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Robust receding horizon control for nonlinear discrete-time systems. Magni, L.; de Nicolao, G.; Scattolini, R.; and Allgöwer, F. In Proc.\ 15th IFAC World Congress, Barcelona, Spain, 2002. available online http://dx.doi.org/10.3182/20020721-6-ES-1901.01053
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A framework for disturbance attenuation with discontinuous control. Knobloch, H.; Ebenbauer, C.; and Allgöwer, F. In Proc.\ 15th IFAC World Congres, Barcelona, Spain, 2002. available online http://dx.doi.org/10.3182/20020721-6-ES-1901.00231
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Output Feedback Nonlinear Model Predictive Control. Imsland, L.; Findeisen, R.; Allgöwer, F.; and Foss, B. Nordic Process Control Workshop XI, Trondheim, Norway, 2002.
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Output feedback nonlinear predictive control - A separation principle approach. Findeisen, R.; Imsland, L.; Allgöwer, F.; and Foss, B. In Proc.\ 15th IFAC World Congress, Barcelona, Spain, 2002. available online http://dx.doi.org/10.3182/20020721-6-ES-1901.00602
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Semi-regional stability results for output-feedback nonlinear predictive control. Findeisen, R.; Imsland, L.; Allgöwer, F.; and Foss, B. 2002. In \em Proceedings of Gesellschaft für Angewandte Mathematik und Mechanik Annual Meeting, GAMM
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Output Feedback Nonlinear Predictive Control. Findeisen, R.; Imsland, L.; Allgöwer, F.; and Foss, B. AIChE Annual Meeting 2002, Indianapolis, 2002.
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Computation and Performance Assesment of Nonlinear Model Predictive Control. Findeisen, R.; Diehl, M.; Uslu, I.; Schwarzkopf, S.; Allgöwer, F.; Bock, H.; Schlöder, J.; and Gilles, E. In Proc.\ 41st IEEE Conf.\ Decision and Control (CDC), pages 4613-4618, Las Vegas, NV, USA, 2002.
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Efficient Output Feedback Nonlinear Model Predictive Control. Findeisen, R.; Diehl, M.; Bürner, T.; Allgöwer, F.; Bock, H.; and Schlöder, J. In Proc.\ American Control Conf.\ (ACC), pages 4752-4757, Anchorage, AK, USA, 2002.
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An Efficient Approach for Nonlinear Model Predictive Control of Large-Scale Systems Part I: Description of the Methodology. Diehl, M.; Findeisen, R.; Schwarzkopf, S.; Uslu, I.; Allgöwer, F.; Bock, H.; and Schlöder, J. at-Automatisierungstechnik, 50(12): 557-567. 2002.
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Real-time optimization and Nonlinear Model Predictive Control of Processes governed by Differential-Algebraic Equations. Diehl, M.; Findeisen, R.; Nagy, Z.; Bock, H.; Schlöder, J.; and Allgöwer, F. J.\ Proc.\ Contr., 4(12): 577-585. 2002.
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Investigation of application sharing systems for teaching purposes in engineering disciplines. Burger, C.; Papakosta, S.; Bullinger, E.; and Wagner, T. In Proc.\ 4th Int.\ Conf.\ New Educational Environment, 2002.
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Context awareness for application sharing in teaching environment. Burger, C.; Bullinger, E.; Papakosta, S.; and Wagner, T. In Proc.\ Int.\ Conf.\ Advances in Infrastructure for e-Business, e-Education, e-Science, and e-Medicine on the Internet (SSGRR), 2002.
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On deriving a hybrid model for Carbohydrate Uptake in Escherichia col. Bullinger, E.; Sauter, T.; Allgöwer, F.; and Gilles, E. In Proc.\ 15th IFAC World Congress, Barcelona, Spain, 2002. available online http://dx.doi.org/10.3182/20020721-6-ES-1901.01312
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Tutorial workshop on computational efficiency in linear and non-linear predictive control. Allgöwer, F.; Rossitter, J.; Cannon, M.; Kouvaritakis, B.; Bock, H.; Diehl, M.; Findeisen, R.; and Schlöder, J. Proc.\ 15th IFAC World Congress, Barcelona, Spain, 2002.
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Nonlinear Model Predictive Control: From Theory to Application. Allgöwer, F; Nagy, Z.; and Findeisen, R. In Proc.\ Int.\ Symp.\ Design, Operation and Control of Chemical Plants (PSE), pages 639-650, Taipei, Taiwan, 2002.
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  2001 (13)
High performance feedback for fast scanning atomic force microscopes. Schitter, G.; Menold, P.; Knapp, H.; Allgöwer, F.; and Stemmer, A. Review of Scientific Instruments, 72(8): 3320-3327. 2001.
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Structured Outliers and Data Cleaning Filters. Pearson, R.; Menold, P.; and Allgöwer, F. In Proceedings of the IEEE-EURASIP Nonlinear Signal and Image Processing workshop, NSIP-01, Baltimore, MD, USA, 2001.
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Parameter and Derivative Estimation for Nonlinear Continuous-Time System Identification. Niethammer, M.; Menold, P.; and Allgöwer, F. In Proc.\ 5th IFAC Symp.\ Nonlinear Control Systems (NOLCOS), pages 691-696, St. Petersburg, Russia, 2001.
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Using Genetic Algorithm in Robust Nonlinear Model Predictive Control. Nagy, Z.; Agachi, S. P.; Allgöwer, F.; Findeisen, R.; Diehl, M.; Bock, H.; and Schlöder, J. In Proc.\ 11th European Symp.\ Computer Aided Process Engineering (ESCAPE), pages 711-716, Kolding, Denmark, 2001.
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Nonlinear model predictive control of a high purity distillation column. Nagy, Z.; Agachi, S. P.; Allgöwer, F.; and Findeisen, R. In 14-th International Congress of Chemical and Process Engineering CHISA 2000, Prague, Czech Republic, 2001. Paper ID P3.12 on CD-ROM
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Biosystems Engineering: Applying methods from systems theory to biological systems. Kremling, A.; Sauter, T.; Bullinger, E.; Ederer, M.; Allgöwer, F.; and Gilles, E. In Proc.\ 2nd Int.\ Conf.\ Systems Biology, pages 282–290, Pasadena, CA, USA, 2001.
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On Output feedback Nonlinear Model Predictive Control using high gain observers for a class of systems. Imsland, L.; Findeisen, R.; Bullinger, E.; Allgöwer, F.; and Foss, B. In Proc.\ 6th IFAC Symp.\ Dynamics and Control of Process Systems (DYCOPS), pages 91-96, Jejudo, Korea, 2001.
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Computational feasibility and performance of nonlinear model predicitve control. Findeisen, R.; Nagy, Z.; Diehl, M.; Allgöwer, F.; Bock, H.; and Schlöder, J. In Proc.\ European Control Conf.\ (ECC), pages 957–961, Porto, Portugal, 2001.
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An introduction to nonlinear model predictive control. Findeisen, R.; and Allgöwer, F. in C. W. Scherer and J. M. Schumacher, editors, Summerschool on "The Impact of Optimization in Control", Dutch Institute of Systems and Control (DISC), pages 3.1-3.45, Delft, The Netherlands, 2001.
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Real-Time Optimization of Large Scale Process Models: Nonlinear Model Predictive Control of a High Purity Distillation Column. Diehl, M.; Uslu, I.; Findeisen, R.; Schwarzkopf, S.; Allgöwer, F.; Bock, H.; Bürner, T.; Gilles, E.; Kienle, A.; Schlöder, J.; and Stein, E. In Grötschel, M.; Krumke, S.; and Rambau, J., editor(s), Online Optimization of Large Scale Systems: State of the Art, pages 363-384. Springer Berlin / Heidelberg, 2001.
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Nonlinear model predictive control of a class of mechatronic systems. Chen, H.; and Allgöwer, F. In Proc.\ 4th China-Korea Joint Workshop on Process Systems Engineering, pages 65-72, Guangzhou, China, 2001.
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Adaptive $λ$-Tracking of Nonlinear Systems with Higher Relative Degree Using Reduced-Order High Gain Control. Bullinger, E.; Findeisen, R.; and Allgöwer, F. In Proc.\ 5th IFAC Symp.\ Nonlinear Control Systems (NOLCOS), pages 92-97, St. Petersburg, Russia, 2001.
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Nonlinear Model Predictive Control of Chemical Processes. Allgöwer, F.; and Findeisen, R. in B. Maschke and A. Van der Schaft, editors, Workshop on Geometrical Modeling and Control of Physical Systems, Ecole d'Etè d'Automatique de Grenoble, pages 3.1-3.75, Grenoble, France, 2001.
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  2000 (16)
Simulation and open loop identification of tapping mode atomic force microscopy. Schitter, G.; Menold, P.; Knapp, H.; Stemmer, A.; and Allgöwer, F. 3rd International Conference on non-contact AFM, Hamburg, 2000.
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Self-Scheduled $H_{∞}$ Output Feedback Control of Descriptor Systems. Rehm, A.; and Allgöwer, F. Comp.\ & Chem.\ Eng., 24(2-7): 279-284. 2000.
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Set-theoretic input sequence design for orthonormal model identification. Pearson, R.; Menold, P.; and Kraus, F. In Proceedings of the IFAC Symposium on System Identification, SYSID 2000, Santa Barbara, California, USA, 2000.
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Real-time Feasibility of Nonlinear Predictive Control for Large Scale Processes – a Case Study. Nagy, Z.; Findeisen, R.; Diehl, M.; Allgöwer, F.; Bock, H. G.; Agachi, S. P.; Schlöder, J. P.; and Leineweber, D. In Proc.\ American Control Conf.\ (ACC), pages 4249–4254, Chicago, IL, USA, 2000.
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Set-theoretic input sequence design for orthonormal model identification. Menold, P. International Federation of Automatic Control, Symposium on System Identification, SYSID 2000, Santa Barbara, California, USA, June, 23rd 2000.
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Ein Struktureignungsmaß zur Modellstrukturauswahl. Menold, P. GAMM, Dresden, Germany, October, 5th 2000.
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Artifact-tolerant controllers for automatic drug delivery in anesthesia. Frei, C.; Bullinger, E.; Gentilini, A.; Glattfelder, A. H.; Sieber, T.; and Zbinden, A. M. Crit.\ Rev.\ Biomed.\ Eng., 28(1-2): 187-192. 2000.
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Nonlinear Predictive Control for Setpoint Families. Findeisen, R.; Chen, H.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 260-264, Chicago, IL, USA, 2000.
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Efficient Nonlinear Model Predictive Control. Findeisen, R.; Allgöwer, F.; Diehl, M.; Bock, H.; Schlöder, J.; and Nagy, Z. In Proc.\ 6th Int.\ Conf.\ Chemical Process Control (CPC), pages 454-460, Tuscon, AZ, USA, 2000.
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A Nonlinear Model Predictive Control Scheme for the Stabilization of Setpoint Families. Findeisen, R.; and Allgöwer, F. Journal A, Benelux Quarterly Journal on Automatic Control, 41(1): 37–45. 2000.
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Nonlinear model predictive control for index–one DAE systems. Findeisen, R.; and Allgöwer, F. In Allgöwer, F.; and Zheng, A., editor(s), Nonlinear Model Predictive Control, volume 26, of Progress in Systems and Control Theory, pages 145–162. Birkhäuser, Basel, 2000.
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Adaptive $λ$-tracking in Anesthesia. Bullinger, E.; Frei, C. W.; Sieber, T. J.; Glattfelder, A. H.; Allgöwer, F.; and Zbinden, A. M. In Carson, E.; and Salzsieder, E., editor(s), Proc.\ 4th IFAC Symp.\ Modelling and Control in Biomedical Systems, pages 181-186, Oxford, UK, 2000. Pergamon
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Some further Results on Adaptive $λ$-tracking for Linear Systems with High Relative Degree. Bullinger, E.; Findeisen, R.; Kraus, F. J.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 3655-3659, Chicago, IL, USA, 2000.
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Adaptive $λ$-tracking for Nonlinear Systems with Higher Relative Degree. Bullinger, E.; and Allgöwer, F. In Proc.\ 39th IEEE Conf.\ Decision and Control (CDC), pages 4771-4776, Sydney, Australia, 2000.
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Adaptive $λ$-tracking for Systems with Higher Relative Degree. Bullinger, E. Ph.D. Thesis, Swiss Federal Institute of Technology (ETH), 2000.
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Efficient Nonlinear Model Predictive Control for Large Scale Constrained Processes. Allgöwer, F.; Findeisen, R.; Nagy, Z.; Diehl, M.; Bock, H.; and Schlöder, J. In Proc.\ 6th Int.\ Conf.\ Methods and Models in Automation and Robotics, pages 43-54, 2000. Miedzyzdroje, Poland
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  1999 (9)
Intelligent Control for the next generation of fast scanning atomic force microscopes. Schitter, G.; Menold, P.; Knapp, H.; Stemmer, A.; and Allgöwer, F. 8th Workshop on Scanning-probe Microscopy and Organic Materials, Basel, 1999.
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Online outlier detection and removal. Menold, P.; Pearson, R.; and Allgöwer, F. In Proc.\ 7th Mediterranean Conf.\ Control and Automation (MED), pages 1110-1133, Haifa, Israel, 1999.
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Dealing with Anomalous Data Points. Menold, P. SGA Bulletin 24, pp. 5-6, 1999.
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Online outlier detection and removal. Menold, P. 7th Mediterranean on Control and Automation, MED '99, Haifa, Israel, June, 29th 1999.
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Artefakttolerante Regelungen für die Anästhesie. Frei, C.; Bullinger, E.; Sieber, T.; Glattfelder, A.; and Zbinden, A. In Fortschritts-Berichte VDI, Reihe 17, Nr. 183, AUTOMED '99, Beiträge zum Workshop "Automatisierungstechnische Verfahren für die Medizin", 25./26. Februar, Darmstadt, pages 37-38, 1999.
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A quasi-infinite horizon predictive control scheme for constrained nonlinear systems. Chen, H.; and Allgöwer, F. IEE Control Theory Appl., 16(3): 313-319. 1999.
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Piecewise Constant High-Gain Adaptive $λ$-tracking for Higher Relative Degree Linear Systems. Bullinger, E.; Ilchmann, A.; and Allgöwer, F. In Proc.\ of the 14th IFAC World Congress, Beijing, China, volume D, pages 249-254, Beijing, China, 1999.
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Adaptive $λ$-tracking for Linear Systems with Higher Relative Degree — The Continuous Adaptation Case. Bullinger, E.; and Allgöwer, F. In Proc.\ European Control Conf.\ (ECC), Karlsruhe, Germany, 1999. paper ID 511, on CD, paper F311
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Nonlinear model predictive control. Allgöwer, F.; Badgwell, T.; Rawlings, J.; and Wright, S. In Perspectives in Control. Plenary Lectures and Mini-Courses at the 5th European Control Conference ECC'99, pages 391-449. Springer-Verlag, London, 1999.
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  1998 (6)
Practically-motivated input sequences for nonlinear model identification. Pearson, R.; Menold, P.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 1235-1239, Philadelphia, PA, USA, 1998.
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A robust model predictive control scheme for constrained linear systems. Chen, H.; Scherer, C.; and Allgöwer, F. In Proc.\ 5th IFAC Symp.\ Dynamics and Control of Process Systems (DYCOPS), pages 60-65, Corfu, Greece, 1998.
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A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability. Chen, H.; and Allgöwer, F. Automatica, 34(10): 1205-1217. 1998.
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Nonlinear model predictive control schemes with guaranteed stability. Chen, H.; and Allgöwer, F. In Berber, R.; and Kravaris, C., editor(s), Nonlinear Model Based Process Control, pages 465-494. Kluwer Academic Publishers, Dordrecht, The Netherlands, 1998.
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A computationally attractive nonlinear predictive control scheme with guaranteed stability for stable systems. Chen, H.; and Allgöwer, F. J.\ Proc.\ Contr., 8(5-6): 475-485. 1998.
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A Simple Adaptive Observer for Nonlinear Systems. Bullinger, E.; Ilchmann, A.; and Allgöwer, F. In Huijberts, H. J. C.; Nijmeijer, H.; van der Schaft, A. J.; and Scherpen, J. M. A., editor(s), Nonlinear control systems design 1998 : a proceedings volume from the 4th IFAC Symposium, Enschede, The Netherlands, volume 2, pages 781 -786. Pergamon, Oxford, UK, 1998.
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  1997 (12)
Stochastic suitability measures for nonlinear structure identification. Pearson, R.; Allgöwer, F.; and Menold, P. In Proc.\ European Control Conf.\ (ECC), Bruessels, Belgium, 1997. paper ID FR-A F4, on CD
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Nonlinear structure identification of chemical processes. Menold, P.; Pearson, R.; and Allgöwer, F. Comp.\ & Chem.\ Eng., 21: 137-142. 1997.
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On simple representation of distillation dynamics. Menold, P.; Allgöwer, F.; and Pearson, R. In Proc.\ 1st European Congress on Chemical Engineering (ECCE), pages 1363-1366, Florence, Italy, 1997.
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Struktureignungsmaße zur nichtlinearen Systemidentifikation. Menold, P.; and Allgöwer, F. 31.~Regelungstechnisches Kolloquium, Boppard, 1997.
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Struktureignungsmasse zur nichtlinearen Systemidentifikation. Menold, P. 31. Regelungstechnisches Kolloquium, Boppard, Germany, February, 20th 1997.
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Nonlinear structure identification of chemical processes. Menold, P. Joint 6th International Symposium on Process Systems Engineering (PSE'97) and 30th European Symposium on Computer Aided Process Engineering (ESCAPE-7), Trondheim, Norway, Mai, 26th 1997.
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A game theoretic approach to nonlinear robust receding horizon control of constrained systems. Chen, H.; Scherer, C.; and Allgöwer, F. In Proc.\ American Control Conf.\ (ACC), pages 3073-3077, Albuquerque, NM, USA, 1997.
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A quasi-infinite horizon nonlinear predictive control scheme for stable systems: Application to a CSTR. Chen, H.; and Allgöwer, F. In Proc.\ IFAC Int.\ Symp.\ Advanced Control of Chemical Processes (ADCHEM), pages 471-476, Banff, Canada, 1997.
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A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability. Chen, H.; and Allgöwer, F. In Proc.\ European Control Conf.\ (ECC), 1997. paper ID TH-A B1, on CD
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Quasi-infinite horizon nonlinear predictive control. Chen, H.; and Allgöwer, F. In Workshop on Control of Nonlinear and Uncertain Systems (COSY), pages 52-57, London, UK, 1997.
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An Adaptive High-Gain Observer for Nonlinear Systems. Bullinger, E.; and Allgöwer, F. In Proc.\ 36th IEEE Conf.\ Decision and Control (CDC), pages 4348–4353, San Diego, CA, USA, 1997.
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Ein adaptiver high-gain Beobachter für nichtlineare Systeme. Bullinger, E.; and Allgöwer, F. in Proc.\ Workshop Theoretische Verfahren der Regelungstechnik des GMA Fachausschusses 1.4,pages 31-38, Interlaken, Switzerland, 1997.
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  1996 (2)
A quasi-infinite horizon predictive control scheme for constrained nonlinear systems. Chen, H.; and Allgöwer, F. In Proc.\ 16th Chinese Control Conf., pages 309-316, Qindao, China, 1996.
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Application of non-stationary iterative methods to an exact Newton-Raphson solution process for power flow equations. Bacher, R.; and Bullinger, E. In 12th Power Systems Computation Conference, Dresden, Germany, pages 453–459, 1996.
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  1995 (2)
Nonlinear predictive control of a benchmark CSTR. Chen, H.; Kremling, A.; and Allgöwer, F. In Proc.\ European Control Conf.\ (ECC), pages 3247-3252, Rome, Italy, 1995.
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Maximal yield control of a nonlinear chemical reactor. Chen, H.; and Allgöwer, F. In Proc.\ 1st IFAC Youth Automation Conf.\ (YAC), pages 764-769, Beijing, China, 1995.
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