Overview
- Lays out the theoretical principles of co-ordinated control together with their experimental application
- Shows the reader how to deal with groups of autonomous vehicles in aerial, terrestrial and submarine environments
- Provides the tools to overcome impaired communication using constantly up-dated neighbor-neighbor interchange
- Includes supplementary material: sn.pub/extras
Part of the book series: Communications and Control Engineering (CCE)
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About this book
Information consensus guarantees that robot 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, this monograph 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 effects of range and other restrictions.
The monograph covers introductory, theoretical and experimental material, featuring - an overview of the use of consensus algorithms in cooperative control; - consensus algorithms in single- and double-integrator, and rigid-body-attitude dynamics; - rendezvous and axial alignment, formation control, deep-space formation flying, fire monitoring and surveillance.
Six appendices cover material drawn from graph, matrix, linear and nonlinear systems theories.
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Keywords
Table of contents (14 chapters)
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Front Matter
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Overview of Consensus Algorithms in Cooperative Control
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Front Matter
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Consensus Algorithms for Single-integrator Dynamics
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Front Matter
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Consensus Algorithms for Double-integrator Dynamics
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Front Matter
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Consensus Algorithms for Rigid Body Attitude Dynamics
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Front Matter
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Consensus-based Design Methodologies for Distributed Multivehicle Cooperative Control
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Front Matter
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Applications to Multivehicle Cooperative Control
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Front Matter
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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)
Authors and Affiliations
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.
Bibliographic Information
Book Title: Distributed Consensus in Multi-vehicle Cooperative Control
Book Subtitle: Theory and Applications
Authors: Wei Ren, Randal W. Beard
Series Title: Communications and Control Engineering
DOI: https://doi.org/10.1007/978-1-84800-015-5
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London 2008
Hardcover ISBN: 978-1-84800-014-8Published: 26 October 2007
Softcover ISBN: 978-1-84996-701-3Published: 19 October 2010
eBook ISBN: 978-1-84800-015-5Published: 27 October 2007
Series ISSN: 0178-5354
Series E-ISSN: 2197-7119
Edition Number: 1
Number of Pages: XV, 319
Topics: Control and Systems Theory, Control, Robotics, Mechatronics, Systems Theory, Control, Artificial Intelligence, Communications Engineering, Networks, Automotive Engineering