Adaptive Backstepping Consensus Control for Nonlinear Multi-Agent Systems

個数:1
紙書籍版価格
¥43,105
  • 電子書籍
  • ポイントキャンペーン

Adaptive Backstepping Consensus Control for Nonlinear Multi-Agent Systems

  • 著者名:Zhao, Lin/Yu, Jinpeng
  • 価格 ¥45,696 (本体¥41,542)
  • Academic Press(2025/12/02発売)
  • 寒さに負けない!Kinoppy 電子書籍・電子洋書 全点ポイント30倍キャンペーン(~2/15)
  • ポイント 12,450pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9780443416446
  • eISBN:9780443416453

ファイル: /

Description

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.- 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

Table of Contents

PART I: Command Filtered backstepping and graph theory1. Introduction of Command filtered backstepping and graph theoryPART II: Adaptive consensus control for strict-feedback nonlinear multi-agent systems2. Neuroadaptive command filtered backstepping containment control for nonlinear multi-agent systemsPART III: Adaptive consensus control for nonstrict-feedback nonlinear multi-agent systems4. Observer based neuroadaptive finite-time command filtered backstepping containment control for nonlinear multi-agent systemsPART IV: Adaptive consensus control for constrained nonlinear multi-agent systems5. Observer based fuzzy adaptive command filtered backstepping consensus tracking control for nonlinear multi-agent systems with input constraints Lin Zhao, Jinpeng Yu, Qingdao University6. Fuzzy adaptive finite-time command filtered backstepping consensus tracking control for nonlinear multi-agent systems with unknown control directions7. Fuzzy adaptive finite-time command filtered backstepping consensus tracking control for nonstrict-feedback nonlinear multiagent systems with full-state constraintsPART V: Adaptive consensus control for nonlinear coopetition multi-agent systems8. Fuzzy adaptive command filtered backstepping bipartite consensus control for nonlinear coopetition multi-agent system9. Neuroadaptive finite-time command filtered backstepping bipartite consensus control for nonlinear coopetition multi-agent systemsPART VI: Adaptive consensus control for stochastic nonlinear multi-agent systems10. Fuzzy adaptive finite-time command filtered backstepping consensus tracking control for stochastic nonlinear multi-agent systems11. Fuzzy adaptive fast finite-time command filtered backstepping containment control for stochastic nonlinear multi-agent systemsPART VII: Applications of command filtered backstepping based adaptive consensus control12. Adaptive command filtered backstepping asymptotic consensus tracking control for multiple manipulator systems13. Adaptive finite-time command filtered backstepping containment control for multiple manipulator systems14. Adaptive finite-time command filtered backstepping containment control for multiple spacecraft systems15. Observer based finite-time command filtered backstepping containment control for multiple spacecraft systems

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