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.
Type de document :
Ouvrage (y compris édition critique et traduction)
Liste complète des métadonnées

Contributeur : Sorin Olaru <>
Soumis le : lundi 18 janvier 2016 - 19:14:34
Dernière modification le : lundi 9 avril 2018 - 12:22:18



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〉



Consultations de la notice