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Mixedinteger Representations In Control Design Mathematical Foundations And Applications 1st Edition Ionela Prodan

  • SKU: BELL-5355252
Mixedinteger Representations In Control Design Mathematical Foundations And Applications 1st Edition Ionela Prodan
$ 31.00 $ 45.00 (-31%)

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Mixedinteger Representations In Control Design Mathematical Foundations And Applications 1st Edition Ionela Prodan instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 2.99 MB
Pages: 115
Author: Ionela Prodan, Florin Stoican, Sorin Olaru, Silviu-Iulian Niculescu (auth.)
ISBN: 9783319269931, 9783319269955, 3319269933, 331926995X
Language: English
Year: 2016
Edition: 1

Product desciption

Mixedinteger Representations In Control Design Mathematical Foundations And Applications 1st Edition Ionela Prodan by Ionela Prodan, Florin Stoican, Sorin Olaru, Silviu-iulian Niculescu (auth.) 9783319269931, 9783319269955, 3319269933, 331926995X instant download after payment.

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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