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Cooperative Control of Multi-Agent Systems

Optimal and Adaptive Design Approaches

  • Frank L. Lewis
  • Hongwei Zhang
  • Kristian Hengster-Movric
  • Abhijit Das

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

Table of contents

  1. Front Matter
    Pages i-xx
  2. Frank L. Lewis, Hongwei Zhang, Kristian Hengster-Movric, Abhijit Das
    Pages 1-21
  3. Frank L. Lewis, Hongwei Zhang, Kristian Hengster-Movric, Abhijit Das
    Pages 23-71
  4. Local Optimal Design for Cooperative Control in Multi-Agent Systems on Graphs

    1. Front Matter
      Pages 73-73
    2. Frank L. Lewis, Hongwei Zhang, Kristian Hengster-Movric, Abhijit Das
      Pages 75-105
    3. Frank L. Lewis, Hongwei Zhang, Kristian Hengster-Movric, Abhijit Das
      Pages 107-140
    4. Frank L. Lewis, Hongwei Zhang, Kristian Hengster-Movric, Abhijit Das
      Pages 141-179
    5. Frank L. Lewis, Hongwei Zhang, Kristian Hengster-Movric, Abhijit Das
      Pages 181-217
  5. Distributed Adaptive Control for Multi-Agent Cooperative Systems

    1. Front Matter
      Pages 219-219
    2. Frank L. Lewis, Hongwei Zhang, Kristian Hengster-Movric, Abhijit Das
      Pages 221-234
    3. Frank L. Lewis, Hongwei Zhang, Kristian Hengster-Movric, Abhijit Das
      Pages 235-257
    4. Frank L. Lewis, Hongwei Zhang, Kristian Hengster-Movric, Abhijit Das
      Pages 259-278
    5. Frank L. Lewis, Hongwei Zhang, Kristian Hengster-Movric, Abhijit Das
      Pages 279-303
  6. Back Matter
    Pages 305-307

About this book

Introduction

Task complexity, communication constraints, flexibility and energy-saving concerns are all factors that may require a group of autonomous agents to work together in a cooperative manner. Applications involving such complications include mobile robots, wireless sensor networks, unmanned aerial vehicles (UAVs), spacecraft, and so on. In such networked multi-agent scenarios, the restrictions imposed by the communication graph topology can pose severe problems in the design of cooperative feedback control systems.  Cooperative control of multi-agent systems is a challenging topic for both control theorists and practitioners and has been the subject of significant recent research.

Cooperative Control of Multi-Agent Systems extends optimal control and adaptive control design methods to multi-agent systems on communication graphs.  It develops Riccati design techniques for general linear dynamics for cooperative state feedback design, cooperative observer design, and cooperative dynamic output feedback design.  Both continuous-time and discrete-time dynamical multi-agent systems are treated. Optimal cooperative control is introduced and neural adaptive design techniques for multi-agent nonlinear  systems with unknown dynamics, which are rarely treated in literature are developed. Results spanning systems with first-, second- and on up to general high-order nonlinear dynamics are presented.

Each control methodology proposed is developed by rigorous proofs. All algorithms are justified by simulation examples. The text is self-contained and will serve as an excellent comprehensive source of information for researchers and graduate students working with multi-agent systems.

The Communications and Control Engineering series reports major technological advances which have potential for great impact in the fields of communication and control. It reflects research in industrial and academic institutions around the world so that the readership can exploit new possibilities as they become available.

Keywords

Agent Synchronization Consensus Control Cooperative Control Multi-agent Systems Neural Adaptive Control Unmanned Aerial Vehicles

Authors and affiliations

  • Frank L. Lewis
    • 1
  • Hongwei Zhang
    • 2
  • Kristian Hengster-Movric
    • 3
  • Abhijit Das
    • 4
  1. 1.University of Texas, Arlington Automation & Robotics Research InstituteFort WorthUSA
  2. 2.Southwest Jiaotong University School of Electrical EngineeringChengduPeople's Republic of China
  3. 3.Automation and Robotics Research InstituteUniversity of Texas at ArlingtonFort WorthUSA
  4. 4.Danfoss Power Solutions (US) CompanyAmesUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-5574-4
  • Copyright Information Springer-Verlag London 2014
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-4471-5573-7
  • Online ISBN 978-1-4471-5574-4
  • Series Print ISSN 0178-5354
  • Series Online ISSN 2197-7119
  • Buy this book on publisher's site
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