Description:
Information consensus guarantees that robot vehicles sharing information over a network topology have a consistent view of information critical to the coordination task. Assuming only neighbor-neighbor interaction between vehicles, this monograph develops distributed consensus strategies designed to ensure that the information states of all vehicles in a network converge to a common value. This approach strengthens the team, minimizing power consumption and the effects of range and other restrictions.
The monograph covers introductory, theoretical and experimental material, featuring - an overview of the use of consensus algorithms in cooperative control; - consensus algorithms in single- and double-integrator, and rigid-body-attitude dynamics; - rendezvous and axial alignment, formation control, deep-space formation flying, fire monitoring and surveillance.
Six appendices cover material drawn from graph, matrix, linear and nonlinear systems theories.
Review Quotes:
From the reviews:
"This book gives a systematic analysis of distributed consensus problems of multivehicle cooperative control and summarizes the main recent work of the authors. The book is well written, and all of the main theoretical results are given together with rigorous mathematical proofs. This book can be a very useful reference for Ph.D. students and researchers in automatic control." (Jinhuan Wang and Xiaoming Hu, IEEE Control Systems Magazine, Vol. 30, June, 2010)