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Distributed Coordination of Multi-agent Networks

Emergent Problems, Models, and Issues

  • Wei Ren
  • Yongcan Cao

Part of the Communications and Control Engineering book series (CCE)

Table of contents

  1. Front Matter
    Pages I-XVII
  2. Preliminaries and Literature Review

    1. Front Matter
      Pages 1-1
    2. Wei Ren, Yongcan Cao
      Pages 3-21
  3. Emergent Problems in Distributed Multi-agent Coordination

    1. Front Matter
      Pages 43-43
    2. Wei Ren, Yongcan Cao
      Pages 45-75
    3. Wei Ren, Yongcan Cao
      Pages 77-107
    4. Wei Ren, Yongcan Cao
      Pages 109-144
  4. Emergent Models in Distributed Multi-agent Coordination

    1. Front Matter
      Pages 145-145
    2. Wei Ren, Yongcan Cao
      Pages 147-183
    3. Wei Ren, Yongcan Cao
      Pages 185-204
  5. Emergent Issues in Distributed Multi-agent Coordination

    1. Front Matter
      Pages 205-205
    2. Wei Ren, Yongcan Cao
      Pages 207-240
    3. Wei Ren, Yongcan Cao
      Pages 241-261
    4. Wei Ren, Yongcan Cao
      Pages 263-289
  6. Back Matter
    Pages 291-307

About this book

Introduction

Multi-agent systems have numerous civilian, homeland security, and military applications; however, for all these applications, communication bandwidth, sensing range, power constraints, and stealth requirements preclude centralized command and control. The alternative is distributed coordination, which is more promising in terms of scalability, robustness, and flexibility.

Distributed Coordination of Multi-agent Networks introduces problems, models, and issues such as collective periodic motion coordination, collective tracking with a dynamic leader, and containment control with multiple leaders, and explores ideas for their solution. Solving these problems extends the existing application domains of multi-agent networks; for example, collective periodic motion coordination is appropriate for applications involving repetitive movements, collective tracking guarantees tracking of a dynamic leader by multiple followers in the presence of reduced interaction and partial measurements, and containment control enables maneuvering of multiple followers by multiple leaders.

The authors’ models for distributed coordination arise from physical constraints and the complex environments in which multi-agent systems operate; they include Lagrangian models – more realistic for mechanical-systems modeling than point models – and fractional-order systems which better represent the consequences of environmental complexity.

Other issues addressed in the text include the time delays inherent in networked systems, optimality concerns associated with the deisgn of energy-efficent algorithms, and the use of sampled-data settings in systems with intermittent neightbor-neighbor contact. Researchers, graduate students, and engineers interested in the field of multi-agent systems will find this monograph useful in introducing them to presently emerging research directions and problems in distributed coordination of multi-agent networks.

Keywords

Autonomous systems Cooperative control Distributed control Multi-agent systems Networked systems

Authors and affiliations

  • Wei Ren
    • 1
  • Yongcan Cao
    • 2
  1. 1.Dept. Electrical & Computer EngineeringUtah State UniversityLoganUSA
  2. 2.Dept. Electrical & Computer EngineeringUtah State UniversityLoganUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-85729-169-1
  • Copyright Information Springer-Verlag London Limited 2011
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-0-85729-168-4
  • Online ISBN 978-0-85729-169-1
  • Series Print ISSN 0178-5354
  • Buy this book on publisher's site