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Graph Theoretic Methods in Multiagent Networks

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Title: Graph Theoretic Methods in Multiagent Networks
Description: This accessible book provides an introduction to the analysis and design of dynamic multiagent networks. Such networks are of great interest in a wide range of areas in science and engineering, including: mobile sensor networks, distributed robotics such as formation flying and swarming, quantum networks, networked economics, biological synchronization, and social networks. Focusing on graph theoretic methods for the analysis and synthesis of dynamic multiagent networks, the book presents a powerful new formalism and set of tools for networked systems. The book's three sections look at foundations, multiagent networks, and networks as systems. The authors give an overview of important ideas from graph theory, followed by a detailed account of the agreement protocol and its various extensions, including the behavior of the protocol over undirected, directed, switching, and random networks. They cover topics such as formation control, coverage, distributed estimation, social networks, and games over networks. And they explore intriguing aspects of viewing networks as systems, by making these networks amenable to control-theoretic analysis and automatic synthesis, by monitoring their dynamic evolution, and by examining higher-order interaction models in terms of simplicial complexes and their applications. The book will interest graduate students working in systems and control, as well as in computer science and robotics. It will be a standard reference for researchers seeking a self-contained account of system-theoretic aspects of multiagent networks and their wide-ranging applications. This book has been adopted as a textbook at the following universities:? University of Stuttgart, Germany Royal Institute of Technology, Sweden Johannes Kepler University, Austria Georgia Tech, USA University of Washington, USA Ohio University, USA
Authors: Mehran Mesbahi, Magnus Egerstedt
Resource Type: eBook.
Subjects: Multiagent systems--Mathematical models, Network analysis (Planning)--Graphic methods
Categories: MATHEMATICS / Applied, MATHEMATICS / Graphic Methods
Database: eBook Collection (EBSCOhost)
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 816475
RelevancyScore: 1031
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1031.17456054688
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  Data: Graph Theoretic Methods in Multiagent Networks
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  Label: Description
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  Data: This accessible book provides an introduction to the analysis and design of dynamic multiagent networks. Such networks are of great interest in a wide range of areas in science and engineering, including: mobile sensor networks, distributed robotics such as formation flying and swarming, quantum networks, networked economics, biological synchronization, and social networks. Focusing on graph theoretic methods for the analysis and synthesis of dynamic multiagent networks, the book presents a powerful new formalism and set of tools for networked systems. The book's three sections look at foundations, multiagent networks, and networks as systems. The authors give an overview of important ideas from graph theory, followed by a detailed account of the agreement protocol and its various extensions, including the behavior of the protocol over undirected, directed, switching, and random networks. They cover topics such as formation control, coverage, distributed estimation, social networks, and games over networks. And they explore intriguing aspects of viewing networks as systems, by making these networks amenable to control-theoretic analysis and automatic synthesis, by monitoring their dynamic evolution, and by examining higher-order interaction models in terms of simplicial complexes and their applications. The book will interest graduate students working in systems and control, as well as in computer science and robotics. It will be a standard reference for researchers seeking a self-contained account of system-theoretic aspects of multiagent networks and their wide-ranging applications. This book has been adopted as a textbook at the following universities:? University of Stuttgart, Germany Royal Institute of Technology, Sweden Johannes Kepler University, Austria Georgia Tech, USA University of Washington, USA Ohio University, USA
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  Data: <searchLink fieldCode="AR" term="%22Mehran+Mesbahi%22">Mehran Mesbahi</searchLink><br /><searchLink fieldCode="AR" term="%22Magnus+Egerstedt%22">Magnus Egerstedt</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Multiagent+systems--Mathematical+models%22">Multiagent systems--Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Network+analysis+%28Planning%29--Graphic+methods%22">Network analysis (Planning)--Graphic methods</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 006.3
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Multiagent systems--Mathematical models
        Type: general
      – SubjectFull: Network analysis (Planning)--Graphic methods
        Type: general
    Titles:
      – TitleFull: Graph Theoretic Methods in Multiagent Networks
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Mehran Mesbahi
      – PersonEntity:
          Name:
            NameFull: Magnus Egerstedt
      – PersonEntity:
          Name:
            NameFull: Mehran Mesbahi
      – PersonEntity:
          Name:
            NameFull: Magnus Egerstedt
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2010
            – D: 30
              M: 07
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9780691140612
            – Type: isbn-electronic
              Value: 9781400835355
          Titles:
            – TitleFull: Graph Theoretic Methods in Multiagent Networks
              Type: main
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