Distributed Average Tracking in Multi-Agent Systems

By: Fei Chen, Wei Ren

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Hardcover | 5 February 2020

At a Glance

Hardcover
252 Pages

Dimensions(cm)
23.5 x 15.5 x 1.91

Hardcover

$169.00

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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.

Industry Reviews

"This book contains some works of the authors that have been published in some top journals. It is not only a good reference textbook for researchers, but also can be used as an excellent graduate textbook. The reviewer believes that this book will gain a significant number of readers in the near future." (Guanghui Wen, Mathematical Reviews, July, 2022)

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