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Author:   Lin Zhao (School of Automation, Qingdao University, China) ,  Jinpeng Yu (School of Automation, Qingdao University, China)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Weight:   0.450kg
ISBN:  

9780443416446

ISBN 10:   0443416443
Pages:   450
Publication Date:   01 December 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

PART I: Command Filtered backstepping and graph theory 1. Introduction of Command filtered backstepping and graph theory PART II: Adaptive consensus control for strict-feedback nonlinear multi-agent systems 2. Neuroadaptive command filtered backstepping containment control for nonlinear multi-agent systems PART III: Adaptive consensus control for nonstrict-feedback nonlinear multi-agent systems 4. Observer based neuroadaptive finite-time command filtered backstepping containment control for nonlinear multi-agent systems PART IV: Adaptive consensus control for constrained nonlinear multi-agent systems 5. Observer based fuzzy adaptive command filtered backstepping consensus tracking control for nonlinear multi-agent systems with input constraints Lin Zhao, Jinpeng Yu, Qingdao University 6. Fuzzy adaptive finite-time command filtered backstepping consensus tracking control for nonlinear multi-agent systems with unknown control directions 7. Fuzzy adaptive finite-time command filtered backstepping consensus tracking control for nonstrict-feedback nonlinear multiagent systems with full-state constraints PART V: Adaptive consensus control for nonlinear coopetition multi-agent systems 8. Fuzzy adaptive command filtered backstepping bipartite consensus control for nonlinear coopetition multi-agent system 9. Neuroadaptive finite-time command filtered backstepping bipartite consensus control for nonlinear coopetition multi-agent systems PART VI: Adaptive consensus control for stochastic nonlinear multi-agent systems 10. Fuzzy adaptive finite-time command filtered backstepping consensus tracking control for stochastic nonlinear multi-agent systems 11. Fuzzy adaptive fast finite-time command filtered backstepping containment control for stochastic nonlinear multi-agent systems PART VII: Applications of command filtered backstepping based adaptive consensus control 12. Adaptive command filtered backstepping asymptotic consensus tracking control for multiple manipulator systems 13. Adaptive finite-time command filtered backstepping containment control for multiple manipulator systems 14. Adaptive finite-time command filtered backstepping containment control for multiple spacecraft systems 15. Observer based finite-time command filtered backstepping containment control for multiple spacecraft systems

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Author Information

Lin Zhao received a B.Sc. degree in Mathematics and Applied Mathematics from Qingdao University, Qingdao, China, in 2008, and a M.Sc. degree in Operational Research and Cybernetics from the Ocean University of China, Qingdao, in 2011. Zhao earned a Ph.D. degree in Applied Mathematics from Beihang University, Beijing, China, in 2016. He is currently a Professor with the School of Automation, Qingdao University. His current research interests include distributed control of multiagent systems, finite-time control, and robot control systems. Dr. Zhao was the recipient of the Shandong Province Taishan Scholar Special Project Fund and the Shandong Province Fund for Outstanding Young Scholars. Jinpeng Yu received a B.Sc. degree in Automation from Qingdao University, Qingdao, China, in 2002, and an M.Sc. degree in System Engineering from Shandong University, Jinan, China, in 2006. Yu went on to obtain a Ph.D. degree in System Theory from the Institute of Complexity Science, Qingdao University, in 2011. He is currently a Professor with the School of Automation, Qingdao University. His research interests include electrical energy conversion and motor control, applied nonlinear control, and intelligent systems. Dr. Yu was the recipient of the Shandong Province Taishan Scholar Special Project Fund and Shandong Province Fund for Outstanding Young Scholars. He has been an Associate Editor of several reputable journals.

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