rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Mixed-Integer Representations in Control Design
    sub title: Mathematical Foundations and Applications
  name:
    name part: Prodan, Ionela.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Stoican, Florin.
    role:
      role term: author.
  name:
    name part: Olaru, Sorin.
    role:
      role term: author.
  name:
    name part: Niculescu, Silviu-Iulian.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 107 p. 30 illus. in color. online resource.
  abstract: 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.
  table of contents: Introduction -- Non-Covex Region Characterization by Hyperplane Arrangements -- Mixed-Integer Representations -- Examples of Multi-Agent Control Problems -- Conclusions.
  note: by Ionela Prodan, Florin Stoican, Sorin Olaru, Silviu-Iulian Niculescu.
  subject:
    topic: Engineering
  subject:
    topic: System theory
  subject:
    topic: Calculus of variations
  subject:
    topic: Control engineering
  subject:
    topic: Robotics
  subject:
    topic: Automation
  subject:
    topic: Engineering
  subject:
    topic: Control
  subject:
    topic: Systems Theory, Control
  subject:
    topic: Calculus of Variations and Optimal Control; Optimization
  subject:
    topic: Robotics and Automation
  classification: TJ212-225
  classification: 629.8
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Electrical and Computer Engineering
  identifier: 9783319269955
  identifier: http://dx.doi.org/10.1007/978-3-319-26995-5
  record info:
    record creation date: 151125
    record change date: 20170519104105.0
    record identifier: 978-3-319-26995-5