This book offers a concise and in-depth exposition of specific
algorithmic solutions for distributed optimization based control of
multi-agent networks and their performance analysis. It synthesizes and
analyzes distributed strategies for three collaborative tasks:
distributed cooperative optimization, mobile sensor deployment and
multi-vehicle formation control. The book integrates miscellaneous ideas
and tools from dynamic systems, control theory, graph theory,
optimization, game theory and Markov chains to address the particular
challenges introduced by such complexities in the environment as
topological dynamics, environmental uncertainties, and potential
cyber-attack by human adversaries.
The book is written for first- or second-year graduate students in a
variety of engineering disciplines, including control, robotics,
decision-making, optimization and algorithms and with backgrounds in
aerospace engineering, computer science, electrical engineering,
mechanical engineering and operations research. Researchers in these
areas may also find the book useful as a reference.