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Mixed-integer representations in con...
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Prodan, Ionela.
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Mixed-integer representations in control design = mathematical foundations and applications /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Mixed-integer representations in control design/ by Ionela Prodan ... [et al.].
其他題名:
mathematical foundations and applications /
其他作者:
Prodan, Ionela.
出版者:
Cham :Springer International Publishing : : 2016.,
面頁冊數:
xii, 107 p. :ill., digital ;24 cm.
內容註:
Introduction -- Non-Covex Region Characterization by Hyperplane Arrangements -- Mixed-Integer Representations -- Examples of Multi-Agent Control Problems -- Conclusions.
Contained By:
Springer eBooks
標題:
Engineering. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-26995-5
ISBN:
9783319269955$q(electronic bk.)
Mixed-integer representations in control design = mathematical foundations and applications /
Mixed-integer representations in control design
mathematical foundations and applications /[electronic resource] :by Ionela Prodan ... [et al.]. - Cham :Springer International Publishing :2016. - xii, 107 p. :ill., digital ;24 cm. - SpringerBriefs in electrical and computer engineering,2191-8112. - SpringerBriefs in electrical and computer engineering..
Introduction -- Non-Covex Region Characterization by Hyperplane Arrangements -- Mixed-Integer Representations -- Examples of Multi-Agent Control Problems -- Conclusions.
In this book, the authors propose efficient characterizations of the non-convex regions that appear in many control problems, such as those involving collision/obstacle avoidance and, in a broader sense, in the description of feasible sets for optimization-based control design involving contradictory objectives. The text deals with a large class of systems that require the solution of appropriate optimization problems over a feasible region, which is neither convex nor compact. The proposed approach uses the combinatorial notion of hyperplane arrangement, partitioning the space by a finite collection of hyperplanes, to describe non-convex regions efficiently. Mixed-integer programming techniques are then applied to propose acceptable formulations of the overall problem. Multiple constructions may arise from the same initial problem, and their complexity under various parameters - space dimension, number of binary variables, etc. - is also discussed. This book is a useful tool for academic researchers and graduate students interested in non-convex systems working in control engineering area, mobile robotics and/or optimal planning and decision-making.
ISBN: 9783319269955$q(electronic bk.)
Standard No.: 10.1007/978-3-319-26995-5doiSubjects--Topical Terms:
586835
Engineering.
LC Class. No.: QA402.3
Dewey Class. No.: 629.8
Mixed-integer representations in control design = mathematical foundations and applications /
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