This accessible book provides an introduction to the analysis
and design of dynamic multiagent networks. Such networks are of
great interest in a wide range of areas in science and engineering,
including: mobile sensor networks, distributed robotics such as
formation flying and swarming, quantum networks, networked
economics, biological synchronization, and social networks.
Focusing on graph theoretic methods for the analysis and synthesis
of dynamic multiagent networks, the book presents a powerful new
formalism and set of tools for networked systems.
The book's three sections look at foundations, multiagent
networks, and networks as systems. The authors give an overview of
important ideas from graph theory, followed by a detailed account
of the agreement protocol and its various extensions, including the
behavior of the protocol over undirected, directed, switching, and
random networks. They cover topics such as formation control,
coverage, distributed estimation, social networks, and games over
networks. And they explore intriguing aspects of viewing networks
as systems, by making these networks amenable to control-theoretic
analysis and automatic synthesis, by monitoring their dynamic
evolution, and by examining higher-order interaction models in
terms of simplicial complexes and their applications.
The book will interest graduate students working in systems and
control, as well as in computer science and robotics. It will be a
standard reference for researchers seeking a self-contained account
of system-theoretic aspects of multiagent networks and their
wide-ranging applications.
This book has been adopted as a textbook at the following
universities: University of Stuttgart, Germany Royal Institute of
Technology, Sweden Johannes Kepler University, Austria Georgia
Tech, USA University of Washington, USA Ohio University, USA
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