Distributed Cooperative Control and Communication for Multi-agent Systems

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¥34,690
  • 電子書籍
  • ポイントキャンペーン

Distributed Cooperative Control and Communication for Multi-agent Systems

  • 著者名:Yue, Dong/Zhang, Huaipin/Weng, Shengxuan
  • 価格 ¥26,166 (本体¥23,788)
  • Springer(2021/02/15発売)
  • もうすぐひな祭り!Kinoppy 電子書籍・電子洋書 全点ポイント25倍キャンペーン(~3/1)
  • ポイント 5,925pt (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:9789813367173
  • eISBN:9789813367180

ファイル: /

Description

This book investigates distributed cooperative control and communication of MASs including linear systems, nonlinear systems and multiple rigid body systems. The model-based and data-driven control method are employed to design the (optimal) cooperative control protocol.


The approaches of this book consist of model-based and data-driven control such as predictive control, event-triggered control, optimal control, adaptive dynamic programming, etc.

From this book, readers can learn about distributed cooperative control methods, data-driven control, finite-time stability analysis, cooperative attitude control of multiple rigid bodies.
   
Some fundamental knowledge prepared to read this book is finite-time stability theory, event-triggered sampling mechanism, adaptive dynamic programming and optimal control.  

Table of Contents

Overview of multi-agent systems cooperation.- Distributed Adaptive Model-Based Event-Triggered Predictive Control for Consensus of MASs.- Event-Triggered Tracking Control For Heterogeneous MASs With Markov Communication Delays.- Time-varying Formation Tracking of Uncertain Non-affine Nonlinear MASs with Communication Delays.- Consensus of Nonlinear MASs with Relative State Saturations.- Distributed event-triggered cooperative attitude control of multiple groups of rigid bodies on manifold SO(3).- Distributed robust finite-time attitude containment control for multiple rigid bodies with uncertainties.- Data-driven Distributed Optimal Consensus Control for Unknown MASs with Input-delay.- Data-driven optimal event-triggered consensus control for unknown nonlinear MASs with control constraints.

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