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Distributed Average Tracking in Multi-agent Systems (Paperback, 1st ed. 2020)
Loot Price: R2,957
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Distributed Average Tracking in Multi-agent Systems (Paperback, 1st ed. 2020)
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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.
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