Adaptive Backstepping Consensus Control for Nonlinear Multi-Agent Systems: Command Filtered Backstepping offers a new design solution for students, researchers, and engineers working on distributed cooperative control problems for nonlinear multi-agent systems. The book is structured around six key topics, focusing on command filtered backstepping-based distributed adaptive consensus control. By combining command filtered backstepping techniques with adaptive control, fuzzy logic systems, neural networks, and other control approaches, the book investigates and proposes control schemes for the consensus control problem of nonlinear multi-agent systems. Readers will gain a comprehensive understanding of consensus control based on adaptive command filtered backstepping technology.
1. Introduction - p. xvii 2. Part I: Command-filtered backstepping and graph theory - p. P1 3. Chapter 1: Introduction of command-filtered backstepping and graph theory - p. 3 4. Part II: Adaptive consensus control for strict-feedback nonlinear multiagent systems - p. P2 5. Chapter 2: Neuroadaptive command-filtered backstepping containment control for nonlinear multiagent systems - p. 13 6. Chapter 3: Neuroadaptive finite-time command-filtered backstepping consensus tracking control for nonlinear multiagent system - p. 29 7. Part III: Adaptive consensus control for nonstrict-feedback nonlinear multiagent systems - p. P3 8. Chapter 4: Observer-based neuroadaptive finite-time command-filtered backstepping containment control for nonlinear multiagent systems - p. 47 9. Part IV: Adaptive consensus control for constrained nonlinear multiagent systems - p. P4 10. Chapter 5: Observer-based fuzzy adaptive command-filtered backstepping consensus tracking control for nonlinear multiagent systems with input constraints - p. 67 11. Chapter 6: Fuzzy adaptive finite-time command-filtered backstepping consensus tracking control for nonlinear multiagent systems with unknown control directions - p. 89 12. Chapter 7: Fuzzy adaptive finite-time command-filtered backstepping consensus tracking control for nonstrict-feedback nonlinear multiagent systems with full-state constraints - p. 105 13. Part V: Adaptive consensus control for nonlinear coopetition multiagent systems - p. P5 14. Chapter 8: Fuzzy adaptive command-filtered backstepping bipartite consensus control for nonlinear coopetition multiagent system - p. 123 15. Chapter 9: Neuroadaptive finite-time command-filtered backstepping bipartite consensus control for nonlinear coopetition multiagent systems - p. 137 16. Part VI: Adaptive consensus control for stochastic nonlinear multiagent systems - p. P6 17. Chapter 10: Fuzzy adaptive finite-time command-filtered backstepping consensus tracking control for stochastic nonlinear multiagent systems - p. 155 18. Chapter 11: Fuzzy adaptive fast finite-time command-filtered backstepping containment control for stochastic nonlinear multiagent systems - p. 173 19. Part VII: Applications of command-filtered backstepping-based adaptive consensus control - p. P7 20. Chapter 12: Adaptive command-filtered backstepping asymptotic consensus tracking control for multiple manipulator systems - p. 191 21. Chapter 13: Adaptive finite-time command-filtered backstepping containment control for multiple manipulator systems - p. 205 22. Chapter 14: Adaptive finite-time command-filtered backstepping containment control for multiple spacecraft systems - p. 219 23. Chapter 15: Observer-based finite-time command-filtered backstepping containment control for multiple spacecraft systems - p. 237 24. Index - p. 249
Adaptive Backstepping Consensus Control for Nonlinear Multi-Agent Systems: Command Filtered Backstepping offers a new design solution for students, researchers, and engineers working on distributed cooperative control problems for nonlinear multi-agent systems. The book is structured around six key topics, focusing on command filtered backstepping-based distributed adaptive consensus control. By combining command filtered backstepping techniques with adaptive control, fuzzy logic systems, neural networks, and other control approaches, the book investigates and proposes control schemes for the consensus control problem of nonlinear multi-agent systems. Readers will gain a comprehensive understanding of consensus control based on adaptive command filtered backstepping technology.
1. Introduction - p. xvii 2. Part I: Command-filtered backstepping and graph theory - p. P1 3. Chapter 1: Introduction of command-filtered backstepping and graph theory - p. 3 4. Part II: Adaptive consensus control for strict-feedback nonlinear multiagent systems - p. P2 5. Chapter 2: Neuroadaptive command-filtered backstepping containment control for nonlinear multiagent systems - p. 13 6. Chapter 3: Neuroadaptive finite-time command-filtered backstepping consensus tracking control for nonlinear multiagent system - p. 29 7. Part III: Adaptive consensus control for nonstrict-feedback nonlinear multiagent systems - p. P3 8. Chapter 4: Observer-based neuroadaptive finite-time command-filtered backstepping containment control for nonlinear multiagent systems - p. 47 9. Part IV: Adaptive consensus control for constrained nonlinear multiagent systems - p. P4 10. Chapter 5: Observer-based fuzzy adaptive command-filtered backstepping consensus tracking control for nonlinear multiagent systems with input constraints - p. 67 11. Chapter 6: Fuzzy adaptive finite-time command-filtered backstepping consensus tracking control for nonlinear multiagent systems with unknown control directions - p. 89 12. Chapter 7: Fuzzy adaptive finite-time command-filtered backstepping consensus tracking control for nonstrict-feedback nonlinear multiagent systems with full-state constraints - p. 105 13. Part V: Adaptive consensus control for nonlinear coopetition multiagent systems - p. P5 14. Chapter 8: Fuzzy adaptive command-filtered backstepping bipartite consensus control for nonlinear coopetition multiagent system - p. 123 15. Chapter 9: Neuroadaptive finite-time command-filtered backstepping bipartite consensus control for nonlinear coopetition multiagent systems - p. 137 16. Part VI: Adaptive consensus control for stochastic nonlinear multiagent systems - p. P6 17. Chapter 10: Fuzzy adaptive finite-time command-filtered backstepping consensus tracking control for stochastic nonlinear multiagent systems - p. 155 18. Chapter 11: Fuzzy adaptive fast finite-time command-filtered backstepping containment control for stochastic nonlinear multiagent systems - p. 173 19. Part VII: Applications of command-filtered backstepping-based adaptive consensus control - p. P7 20. Chapter 12: Adaptive command-filtered backstepping asymptotic consensus tracking control for multiple manipulator systems - p. 191 21. Chapter 13: Adaptive finite-time command-filtered backstepping containment control for multiple manipulator systems - p. 205 22. Chapter 14: Adaptive finite-time command-filtered backstepping containment control for multiple spacecraft systems - p. 219 23. Chapter 15: Observer-based finite-time command-filtered backstepping containment control for multiple spacecraft systems - p. 237 24. Index - p. 249
