Communications and Control Engineering

Distributed Consensus in Multi-vehicle Cooperative Control

Theory and Applications

Authors: Ren, Wei, Beard, Randal

  • Sets forth the theoretical principles of coordinated control together with their experimental applications
  • Demonstrate how to deal with groups of autonomous vehicles in aerial, terrestrial, and submarine environments
  • Provides the tools to overcome impaired communication by using constantly updated neighbor-neighbor interchange
  • Develops distributed consensus strategies to ensure that the information states of all vehicles in a network converge to a common value
  • Shows how to minimize power consumption as well as the effects of range and other restrictions
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Hardcover $209.00
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  • ISBN 978-1-84800-014-8
  • with online files
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  • Usually dispatched within 3 to 5 business days.
Softcover $209.00
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  • ISBN 978-1-84996-701-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

The coordinated use of autonomous vehicles has an abundance of potential applications from the domestic to the hazardously toxic. Frequently the communications necessary for the productive interplay of such vehicles may be subject to limitations in range, bandwidth, noise and other causes of unreliability.

Information consensus guarantees that vehicles sharing information over a network topology have a consistent view of information critical to the coordination task. Assuming only neighbor-neighbor interaction between vehicles, Distributed Consensus in Multi-vehicle Cooperative Control develops distributed consensus strategies designed to ensure that the information states of all vehicles in a network converge to a common value. This approach strengthens the team, minimizing power consumption and the deleterious effects of range and other restrictions.

The monograph is divided into six parts covering introductory, theoretical and experimental material and featuring:

• an overview of the use of consensus algorithms in cooperative control;

• consensus algorithms in single- and double-integrator dynamical systems;

• consensus algorithms for rigid-body attitude dynamics;

• rendezvous and axial alignment, formation control, deep-space formation flying, fire monitoring and surveillance.

Notation drawn from graph and matrix theory and background material on linear and nonlinear system theory are enumerated in six appendices. The authors maintain a website at which can be found a sample simulation and experimental video material associated with experiments in several chapters of this book.

Academic control systems researchers and their counterparts in government laboratories and robotics- and aerospace-related industries will find the ideas presented in Distributed Consensus in Multi-vehicle Cooperative Control of great interest. This text will also serve as a valuable support and reference for graduate courses in robotics, and linear and nonlinear control systems.

About the authors

Wei Ren is an assistant professor in the Department of Electrical and Computer Engineering at Utah State University. He received his Ph.D. degree in electrical engineering from Brigham Young University, Provo, UT, in 2004. From October 2004 to July 2005, he was a research associate in the Department of Aerospace Engineering at the University of Maryland, College Park, MD. His research has been focusing on cooperative control for multiple autonmous vehicles and autonomous control of robotic vehicles. He is a member of the IEEE Control Systems Society and AIAA.

 

Randal W. Beard received the B.S. degree in electrical engineering from the University of Utah, Salt Lake City in 1991, the M.S. degree in electrical engineering in 1993, the M.S. degree in mathematics in 1994, and the Ph.D. degree in electrical engineering in 1995, all from Rensselaer Polytechnic Institute, Troy, NY. Since 1996, he has been with the Electrical and Computer Engineering Department at Brigham Young University, Provo, UT, where he is currently an associate professor. In 1997 and 1998, he was a Summer Faculty Fellow at the Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA. In 2006 and 2007 he was a visiting research fellow at the Air Force Research Laboratory, Munitions Directorate, Eglin AFB, FL. His primary research focus is autonomous control of miniature air vehicles and multivehicle coordination and control. He is currently an associate editor for the IEEE Control Systems Magazine and the Journal of Intelligent and Robotic Systems.

Reviews

From the reviews:

“This book gives a systematic analysis of distributed consensus problems of multivehicle cooperative control and summarizes the main recent work of the authors. The book is well written, and all of the main theoretical results are given together with rigorous mathematical proofs. This book can be a very useful reference for Ph.D. students and researchers in automatic control.” (Jinhuan Wang and Xiaoming Hu, IEEE Control Systems Magazine, Vol. 30, June, 2010)


Table of contents (14 chapters)

Buy this book

eBook $159.00
price for USA (gross)
  • ISBN 978-1-84800-015-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $209.00
price for USA
  • ISBN 978-1-84800-014-8
  • with online files
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $209.00
price for USA
  • ISBN 978-1-84996-701-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Distributed Consensus in Multi-vehicle Cooperative Control
Book Subtitle
Theory and Applications
Authors
Series Title
Communications and Control Engineering
Copyright
2008
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-84800-015-5
DOI
10.1007/978-1-84800-015-5
Hardcover ISBN
978-1-84800-014-8
Softcover ISBN
978-1-84996-701-3
Series ISSN
0178-5354
Edition Number
1
Number of Pages
XV, 319
Topics