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Mixed-Integer Representations in Control Design: Mathematical Foundations and Applications

Résumé : In this book, the authors propose efficient characterizations of the non-convex regions that appear in many control problems, such as those involving collision/obstacle avoidance and, in a broader sense, in the description of feasible sets for optimization-based control design involving contradictory objectives. The text deals with a large class of systems that require the solution of appropriate optimization problems over a feasible region, which is neither convex nor compact. The proposed approach uses the combinatorial notion of hyperplane arrangement, partitioning the space by a finite collection of hyperplanes, to describe non-convex regions efficiently. Mixed-integer programming techniques are then applied to propose acceptable formulations of the overall problem. Multiple constructions may arise from the same initial problem, and their complexity under various parameters - space dimension, number of binary variables, etc. - is also discussed. This book is a useful tool for academic researchers and graduate students interested in non-convex systems working in control engineering area, mobile robotics and/or optimal planning and decision-making.
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Contributor : Sorin Olaru <>
Submitted on : Monday, January 18, 2016 - 7:14:34 PM
Last modification on : Thursday, November 19, 2020 - 1:01:24 PM



Ionela Prodan, Florin Stoican, Sorin Olaru, Silviu-Iulian Niculescu. Mixed-Integer Representations in Control Design: Mathematical Foundations and Applications. Springer, 2016, ⟨10.1007/978-3-319-26995-5⟩. ⟨hal-01257452⟩



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