@article{
 title = {Synthesis of Robust Piecewise Affine Output-Feedback Strategies},
 type = {article},
 year = {2016},
 identifiers = {[object Object]},
 pages = {1461-1469},
 volume = {39},
 websites = {http://arc.aiaa.org/doi/10.2514/1.G001343},
 publisher = {American Institute of Aeronautics and Astronautics Inc.},
 id = {a37f9405-3e31-38ba-b5c9-8927af98f508},
 created = {2016-09-15T12:46:44.000Z},
 accessed = {2016-09-15},
 file_attached = {false},
 profile_id = {147aee4a-6b08-371c-aedb-7839b1042d18},
 last_modified = {2016-10-17T14:36:26.000Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Trottemant2016},
 abstract = {Robust missile intercept control strategies can effectively be synthesized using convex programming. The major obstacle when implementing such strategies as receding horizon controllers is the online computational load, since the strategies have to be derived at each time instant. Hence, the application of these robust strategies for missile intercept control systems has been very limited. In this paper, a novel approach is suggested that transfers the computational effort from online to offline computations. As a result, an automatic scheduling of the robust strategies is provided that does not require any online optimization. The proposed model-based method results in a piecewise affine outputfeedback strategy.},
 bibtype = {article},
 author = {Trottemant, E. J. and Mazo, M. and Scherer, C. W.},
 journal = {Journal of Guidance, Control, and Dynamics},
 number = {7}
}

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