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Distributed Optimization-Based Control of Multi-Agent Networks in Complex Environments / by Minghui Zhu, Sonia Mart nez.

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  • Author(s): Zhu, Minghui. author.; Mart nez, Sonia. author.; SpringerLink (Online service)
  • Document Type:
    Electronic Resource
    Electronic Resource
  • Online Access:
    http://dspace.conacyt.gov.py/xmlui/handle/123456789/14025
    Springer eBooks
    SpringerBriefs in Electrical and Computer Engineering, 2191-8112
    http://cicco.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-319-19072-3
  • Additional Information
    • Publisher Information:
      Cham : Springer International Publishing : Imprint: Springer, 2015. 2015
    • Abstract:
      This book offers a concise and in-depth exposition of specific algorithmic solutions for distributed optimization based control of multi-agent networks and their performance analysis. It synthesizes and analyzes distributed strategies for three collaborative tasks: distributed cooperative optimization, mobile sensor deployment and multi-vehicle formation control. The book integrates miscellaneous ideas and tools from dynamic systems, control theory, graph theory, optimization, game theory and Markov chains to address the particular challenges introduced by such complexities in the environment as topological dynamics, environmental uncertainties, and potential cyber-attack by human adversaries. The book is written for first- or second-year graduate students in a variety of engineering disciplines, including control, robotics, decision-making, optimization and algorithms and with backgrounds in aerospace engineering, computer science, electrical engineering, mechanical engineering and operations research. Researchers in these areas may also find the book useful as a reference.
    • Subject Terms:
      Engineering.; System theory.; Calculus of variations.; Control engineering.; Robotics.; Automation.; Control.; Calculus of Variations and Optimal Control; Optimization.; Robotics and Automation.; Systems Theory, Control.; text
    • Availability:
      Open access content. Open access content
    • Other Numbers:
      PYCED oai:dspace.conacyt.gov.py:123456789/14025
      9783319190723
      10.1007/978-3-319-19072-3
      978-3-319-19072-3
      1154414774
    • Contributing Source:
      CONACYT EDUCA
      From OAIster®, provided by the OCLC Cooperative.
    • Accession Number:
      edsoai.on1154414774