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03332nam a22005535i 4500 |
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978-3-319-26995-5 |
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20170519104105.0 |
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151125s2016 gw | s |||| 0|eng d |
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|a 9783319269955
|9 978-3-319-26995-5
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|a 10.1007/978-3-319-26995-5
|2 doi
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|d GrThAP
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|a TJ212-225
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|a TJFM
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|a TEC004000
|2 bisacsh
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|a 629.8
|2 23
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|a Prodan, Ionela.
|e author.
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|a Mixed-Integer Representations in Control Design
|h [electronic resource] :
|b Mathematical Foundations and Applications /
|c by Ionela Prodan, Florin Stoican, Sorin Olaru, Silviu-Iulian Niculescu.
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264 |
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2016.
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300 |
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|a XII, 107 p. 30 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a SpringerBriefs in Electrical and Computer Engineering,
|x 2191-8112
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|a Introduction -- Non-Covex Region Characterization by Hyperplane Arrangements -- Mixed-Integer Representations -- Examples of Multi-Agent Control Problems -- Conclusions.
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|a 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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|a Engineering.
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|a System theory.
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|a Calculus of variations.
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|a Control engineering.
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|a Robotics.
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|a Automation.
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|a Engineering.
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|a Control.
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|a Systems Theory, Control.
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650 |
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|a Calculus of Variations and Optimal Control; Optimization.
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650 |
2 |
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|a Robotics and Automation.
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700 |
1 |
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|a Stoican, Florin.
|e author.
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700 |
1 |
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|a Olaru, Sorin.
|e author.
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700 |
1 |
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|a Niculescu, Silviu-Iulian.
|e author.
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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776 |
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8 |
|i Printed edition:
|z 9783319269931
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830 |
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|a SpringerBriefs in Electrical and Computer Engineering,
|x 2191-8112
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856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-319-26995-5
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-ENG
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950 |
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|a Engineering (Springer-11647)
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