Distributed Optimization Design Based on Passivity Technique. Tang, Y., Hong, Y., & Yi, P. In 2016 12th IEEE International Conference on Control and Automation (ICCA), pages 732--737, June, 2016. 00000
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In this paper, we study distributed optimization based on passivity techniques. At first, we revisit the concept of passivity respect to non-zero equilibrium point and convert the stabilization problem into another problem that to find a function with relative monotonicity. Then, a passivity-based interpretation is proposed on existing centralized optimization algorithms by adopting a continuous-time dynamic system view. We utilize this passivity technique to solve a resource allocation problem via distribute algorithms. Its effectiveness is verified by a simulation example.
@inproceedings{tang_distributed_2016,
	title = {Distributed {Optimization} {Design} {Based} on {Passivity} {Technique}},
	doi = {10.1109/ICCA.2016.7505365},
	abstract = {In this paper, we study distributed optimization based on passivity techniques. At first, we revisit the concept of passivity respect to non-zero equilibrium point and convert the stabilization problem into another problem that to find a function with relative monotonicity. Then, a passivity-based interpretation is proposed on existing centralized optimization algorithms by adopting a continuous-time dynamic system view. We utilize this passivity technique to solve a resource allocation problem via distribute algorithms. Its effectiveness is verified by a simulation example.},
	booktitle = {2016 12th {IEEE} {International} {Conference} on {Control} and {Automation} ({ICCA})},
	author = {Tang, Y. and Hong, Y. and Yi, P.},
	month = jun,
	year = {2016},
	note = {00000},
	keywords = {Convergence, Convex functions, Heuristic algorithms, Multi-agent systems, Optimization, Resource management, Stability analysis},
	pages = {732--737}
}

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