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Cooperative Tracking Control and Regulation for a Class of Multi-agent Systems

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  • © 2019

Overview

  • Focuses on the cooperative tracking and regulation problems for linear multi-agent systems with external disturbances
  • Introduces the latest distributed internal model and adaptive dynamic programming technology for non-identical multi-agent systems
  • Provides a theoretical framework of multi-agent systems with single and multiple leaders

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Table of contents (8 chapters)

Keywords

About this book

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.

 

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.” (Lubomír Bakule, zbMATH 1430.93004, 2020)

Authors and Affiliations

  • College of Engineering, Bohai University, Jinzhou, China

    Hongjing Liang

  • Department of Electrical Engineering, Northeastern University, Shenyang, China

    Huaguang Zhang

About the authors

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.

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