Overview
This book focuses on the characteristics of cooperative control problems for general linear multi-agent systems, including formation control, air traffic control, rendezvous, foraging, role assignment, and cooperative search. On this basis and combined with linear system theory, it introduces readers to the cooperative tracking problem for identical continuous-time multi-agent systems under state-coupled dynamics; the cooperative output regulation for heterogeneous multi-agent systems; and the optimal output regulation for model-free multi-agent systems. In closing, the results are extended to multiple leaders, and cooperative containment control for uncertain multi-agent systems is addressed. Given its scope, the book offers an essential reference guide for researchers and designers of multi-agent systems, as well as a valuable resource for upper-level undergraduate and graduate students.
Full Product Details
Author: Hongjing Liang ,
Huaguang Zhang
Publisher: Springer Verlag, Singapore
Imprint: Springer Verlag, Singapore
Edition: 2019 ed.
Weight: 0.454kg
ISBN: 9789811383618
ISBN 10: 9811383618
Pages: 173
Publication Date: 14 August 2020
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: Manufactured on demand
We will order this item for you from a manufactured on demand supplier.
Reviews
The book is written for engineers engaged in multi-agent systems research and design, for applied mathematicians interested in systems and control theory, as well as a worthwhile up-to-date overview for upper level undergraduate and graduate students. (Lubomir Bakule, zbMATH 1430.93004, 2020)
“The book is written for engineers engaged in multi-agent systems research and design, for applied mathematicians interested in systems and control theory, as well as a worthwhile up-to-date overview for upper level undergraduate and graduate students.” (Lubomír Bakule, zbMATH 1430.93004, 2020)
Author Information
Hongjing Liang received his B.S. degree in mathematics from Bohai University, Jinzhou, China, in 2009, his M.S. degree in fundamental mathematics from Northeastern University, Shenyang, China, in 2011, and a Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, China, in 2016. He is currently working at Bohai University. His research interests include multi-agent systems, complex systems, and output regulation.Huaguang Zhang received his B.S. and M.S. degrees in control engineering from Northeastern Electric Power University, Jilin, China, 1982 and 1985, respectively, and a Ph.D. degree in thermal power engineering and automation from Southeast University, Nanjing, China, in 1991. Dr. Zhang joined the Department of Automatic Control, Northeastern University, Shenyang, China, in 1992, as a Postdoctoral Fellow. Since 1994, he has been a professor and the head of the Electric Automation Institute, Northeastern University. He has authored three English monographs and holds 30 patents. His main research interests are neural network-based control, fuzzy control, chaos control, nonlinear control, signal processing, adaptive dynamic programming (ADP) and their industrial applications. Dr. Zhang was a recipient of the Nationwide Excellent Post-Doctor, the Outstanding Youth Science Foundation Award from the National Natural Science Foundation Committee of China in 2003, the Cheung Kong Scholar Award from the Education Ministry of China in 2005, and the IEEE Transactions on Neural Networks Outstanding Paper Award in 2012. He was an Associate Editor of Automatica, IEEE Transactions on Cybernetics and Neurocomputing. He is the Deputy Director of the Intelligent System Engineering Committee of Chinese Association of Artificial Intelligence.
