
Adaptive Backstepping Consensus Control for Nonlinear Multi-Agent Systems
- 1st Edition - January 1, 2026
- Imprint: Academic Press
- Authors: Lin Zhao, Jinpeng Yu
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 4 1 6 4 4 - 6
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 4 1 6 4 5 - 3
Adaptive Backstepping Consensus Control for Nonlinear Multi-Agent Systems: Command Filtered Backstepping offers a new design solution for students, researchers, and engine… Read more
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- Provides a framework for dealing with various nonlinearities in multi-agent cooperative control problems
- Proposes the corresponding intelligent adaptive control schemes to compensate for uncertainties and disturbances
- Includes applications to demonstrate the advantages of cooperative adaptive command filtered backstepping control approaches
• motivation of this book
• overview of the book
• preview of chapters
PART I: Command Filtered backstepping and graph theory
1. Introduction of Command filtered backstepping and graph theory
• Backstepping for nonlinear systems
• Command filter
• 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
• command filtered backstepping based neuroadaptive control
• strict-feedback nonlinear multi-agent systems
• containment control
3. Neuroadaptive finite-time command filtered backstepping consensus tracking control for nonlinear multi-agent system
• command filtered backstepping based neuroadaptive control
• strict-feedback nonlinear multi-agent systems
• finite-time control
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
• command filtered backstepping based neuroadaptive control
• containment control
• finite-time output feedback control
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
• command filtered backstepping based fuzzy adaptive control
• state observer
• consensus tracking control
6. Fuzzy adaptive finite-time command filtered backstepping consensus tracking control for nonlinear multi-agent systems with unknown control directions
• command filtered backstepping based fuzzy adaptive control
• unknown control directions
• consensus tracking control
7. Fuzzy adaptive finite-time command filtered backstepping consensus tracking control for nonstrict-feedback nonlinear multiagent systems with full-state constraints
• command filtered backstepping based fuzzy adaptive control
• nonstrict-feedback nonlinear multi-agent systems
• 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
• command filtered backstepping based fuzzy adaptive control
• nonlinear coopetition multi-agent system
• bipartite consensus control
9. Neuroadaptive finite-time command filtered backstepping bipartite consensus control for nonlinear coopetition multi-agent systems
• command filtered backstepping based neuroadaptive control
• nonstrict-feedback nonlinear coopetition multi-agent systems
• finite-time control
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
• command filtered backstepping based fuzzy adaptive control
• stochastic nonlinear multi-agent systems
• consensus tracking control
11. Fuzzy adaptive fast finite-time command filtered backstepping containment control for stochastic nonlinear multi-agent systems
• command filtered backstepping based fuzzy adaptive control
• containment control
• fast finite-time control
PART VII: Applications of command filtered backstepping based adaptive consensus control
12. Adaptive command filtered backstepping asymptotic consensus tracking control for multiple manipulator systems
• command filtered backstepping based adaptive control
• asymptotic consensus tracking
• multiple manipulator systems
13. Adaptive finite-time command filtered backstepping containment control for multiple manipulator systems
• command filtered backstepping based adaptive control
• containment control
• finite-time control
14. Adaptive finite-time command filtered backstepping containment control for multiple spacecraft systems
• command filtered backstepping based adaptive control
• multiple spacecraft systems
• finite-time control
15. Observer based finite-time command filtered backstepping containment control for multiple spacecraft systems
• command filtered backstepping
• containment control
• finite-time output feedback control
- Edition: 1
- Published: January 1, 2026
- Imprint: Academic Press
- Language: English
LZ
Lin Zhao
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.
JY