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Distributed Average Tracking in Multi-agent Systems

Authors: Chen, Fei, Ren, Wei

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  • Introduces students to an exciting field of research in control and robotics
  • Provides academic researchers with suggestions for new directions of study in multi-agent systems
  • Presents animated simulations and experimental videos available from the authors’ website
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eBook 106,99 €
price for Spain (gross)
  • Due: February 4, 2020
  • ISBN 978-3-030-39536-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
Hardcover 135,19 €
price for Spain (gross)
  • Due: February 5, 2020
  • ISBN 978-3-030-39535-3
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  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This book presents a systematic study of an emerging field in the development of multi-agent systems. In a wide spectrum of applications, it is now common to see that multiple agents work cooperatively to accomplish a complex task. The book assists the implementation of such applications by promoting the ability of multi-agent systems to track — using local communication only — the mean value of signals of interest, even when these change rapidly with time and when no individual agent has direct access to the average signal across the whole team; for example, when a better estimation/control performance of multi-robot systems has to be guaranteed, it is desirable for each robot to compute or track the averaged changing measurements of all the robots at any time by communicating with only local neighboring robots. The book covers three factors in successful distributed average tracking:

  • algorithm design via nonsmooth and extended PI control;
  • distributed average tracking for double-integrator, general-linear, Euler–Lagrange, and input-saturated dynamics; and
  • applications in dynamic region-following formation control and distributed convex optimization. 

The book presents both the theory and applications in a general but self-contained manner, making it easy to follow for newcomers to the topic. The content presented fosters research advances in distributed average tracking and inspires future research directions in the field in academia and industry.

About the authors

Fei Chen received the Ph.D. degree in control theory and control engineering from Nankai University, China, in 2009. He is presently a Professor with the State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China and School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China. He serves as the deputy director of Qinhuangdao Key Laboratory of Simulation and Control of Intelligent Transportation Systems. Prior to joining Northeastern University, he was with the Department of Automation, Xiamen University, Xiamen, China and the Department of Computer and Electrical Engineering, Utah State University, Logan, UT. He also held several visiting positions at University of California, Riverside, and City University of Hong Kong. His research interests include multi-agent systems, nonsmooth control, cooperative control, distributed optimization, and complex networks. Dr. Chen was a recipient of 2014 Outstanding Reviewer for IEEE Transactions on Control of Network Systems. He is currently an Associate Editor for IEEE ACCESS. He is a senior member of the IEEE.

 

Wei Ren received the B.S. degree in electrical engineering from Hohai University, China, in 1997, the M.S. degree in mechatronics from Tongji University, China, in 2000, and the Ph.D. degree in electrical engineering from Brigham Young University, Provo, UT, in 2004. He is currently a Professor with the Department of Electrical and Computer Engineering, University of California, Riverside. Prior to joining UC Riverside, he was a faculty member at Utah State University and a postdoctoral research associate at the University of Maryland, College Park. His research focuses on distributed control of multi-agent systems. He is an author of two books Distributed Coordination of Multi-agent Networks (Springer, 2011) and Distributed Consensus in Multi-vehicle Cooperative Control (Springer, 2008). Dr. Ren was the recipient of the IEEE Control Systems Society Antonio Ruberti Young Researcher Prize in 2017 and a National Science Foundation CAREER Award in 2008. He is currently an Associate Editor for Automatica and IEEE Transactions on Automatic Control. He is an IEEE Fellow.


Table of contents (10 chapters)

Table of contents (10 chapters)

Buy this book

eBook 106,99 €
price for Spain (gross)
  • Due: February 4, 2020
  • ISBN 978-3-030-39536-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
Hardcover 135,19 €
price for Spain (gross)
  • Due: February 5, 2020
  • ISBN 978-3-030-39535-3
  • Free shipping for individuals worldwide
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Distributed Average Tracking in Multi-agent Systems
Authors
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-39536-0
DOI
10.1007/978-3-030-39536-0
Hardcover ISBN
978-3-030-39535-3
Edition Number
1
Number of Pages
XIX, 231
Number of Illustrations
6 b/w illustrations, 41 illustrations in colour
Topics