This book addresses problems in the modeling, detection, and control of
emergent behaviors and task coordination in multiagent systems. It
presents a unified solution to such problems in terms of distributed
estimation, distributed control, and optimization of interaction
topologies and dynamics.
Four aspects of the technical solutions in the book are presented:
First, the impact of interaction dynamics on the convergence conditions
related to interaction topologies is discussed, utilizing a
discontinuous cooperative control algorithm of updated design. Second,
distributed least-squares and Kalman filtering algorithms for agents
with limited interactions are elaborated upon. Third, a general
framework of distributed nonlinear control is established, and
distributed adaptive control for nonlinear systems with more general
uncertainties is presented. Based on the proposed framework, a
distributed nonlinear controller is designed to deal with task
coordination of robotic systems with nonholonomic constraints. Finally,
the problem of optimal multiagent task coordination is addressed and
solutions based on approximate dynamic programming and approximate
distributed gradient estimation are presented.
Emergent Behavior Detection and Task Coordination for Multiagent
Systems is of interest to practicing engineers in areas such as
robotics and cyber-physical systems, researchers in the field of
systems, controls, and robotics, and senior undergraduate and graduate
students.