Mixed-Integer Representations in Control Design: Mathematical Foundations and Applications - Silviu-Iulian Niculescu,Florin Stoican,Sorin Olaru,Ionela Prodan
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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 optimizati ... Täielik kirjeldus
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Kirjeldus
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 auseful 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.
Lisateave
| Autor | Silviu-Iulian Niculescu, Florin Stoican, Sorin Olaru, Ionela Prodan |
|---|---|
| Kirjastaja | Springer Nature Switzerland |
| Väljalaskeaasta | 2015 |
| Kaanetüüp | Pehme kaanega |
| EAN | 9783319269931 |