Distributed Cooperative Control and Communication for Multi-agent Systems

✍ Scribed by Dong Yue, Huaipin Zhang, Shengxuan Weng

• Publisher: Springer
• Year: 2021
• Tongue: English
• Leaves: 199
• Category: Library

✦ Synopsis

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

Preface
Contents
Acronyms
1 Overview of Multiagent Systems Cooperation
1.1 Introduction
1.2 Cooperative Control of Multiagent Systems
1.2.1 Model-Based Cooperative Control Method
1.2.2 Data-Driven Cooperative Control Method
1.3 Cooperative Communication of Multiagent Systems
1.4 Contribution of This Book
1.5 Book Organization
References
Part I Distributed Cooperative Control of Linear Multi-agent Systems
2 Distributed Event-Triggered Consensus Control of Homogeneous Multiagent Systems
2.1 Problem Formulation
2.2 Distributed Consensus Control Design and Analysis
2.2.1 Distributed Adaptive Event-Triggered Strategy
2.2.2 Distributed Consensus Control Design
2.2.3 Modeling of The Closed-Loop Systems
2.2.4 Consensus Analysis
2.3 Uniform Delay Case
2.4 Simulation Example
2.5 Conclusion
References
3 Distributed Event-Triggered Tracking Control for Heterogeneous Multiagent Systems
3.1 Problem Formulation
3.2 Event-Triggered Tracking Control Design
3.3 Consensus Analysis
3.4 Simulation Example
3.5 Conclusion
References
Part II Distributed Cooperative Control of Nonlinear Multi-agent Systems
4 Distributed Formation Tracking Conrol of Nonlinear Mutiagent Systems
4.1 Problem Formulation
4.2 Formation Tracking Control Strategy Design
4.3 Simulation Examples
4.3.1 A Team of Mobile Robots
4.3.2 Numerical Example
4.4 Conclusion
References
5 Distributed Consensus Control of Nonlinear Multiagent Systems
5.1 Problem Formulation
5.2 Continuous Consensus Protocol Design
5.3 Intermittent Consensus Protocol Design
5.4 Adaptive Consensus Protocol Design
5.5 Extension to Output Feedback Case
5.6 Applications in Constrained Preserving Connectivity
5.7 Simulation Examples
5.7.1 Application to Aircraft Team
5.7.2 Application to Connectivity Preservation
5.8 Conclusion
References
Part III Distributed Cooperative Attitude Control of Multiple Rigid Body Systems
6 Distributed Event-Triggered Attitude Cooperative Control of Multiple Rigid Body Systems
6.1 Problem Formulation
6.2 Inter-Group Anti-consensus Algorithms
6.3 Intra-Group Event-Triggered Synchronization Algorithms
6.4 Simulation Example
6.5 Conclusion
References
7 Distributed Robust Attitude Containment Control for Multiple Rigid Body Sysems
7.1 Problem Formulation
7.2 Attitude Containment Control Law Design
7.2.1 The Sliding-mode Surface Design
7.2.2 Sliding-mode Attitude Containment Control Design
7.2.3 Adaptive Sliding-mode Attitude Containment Control Design
7.3 Simulation Examples
7.3.1 Sliding-mode Attitude Containment Control
7.3.2 Adaptive Sliding-mode Attitude Containment Control
7.4 Conclusion
References
Part IV Distributed Data-Driven Optimal Consensus Control for Multi-agent Systems
8 Data-Driven Optimal Consensus Control for Linear Multiagent Systems
8.1 Problem Formulation
8.2 Problem Transformation
8.3 Optimal Consensus Control Design
8.3.1 Optimal Consensus Control for Delay-free Multiagent Systems
8.3.2 Nash Equilibrium
8.4 Policy Iteration Algorithm
8.5 Data-driven Approximation Solutions for The Coupled HJB Equations by Critic-Actor Neural Networks
8.5.1 Critic Network
8.5.2 Actor Network
8.6 Simulation Example
8.7 Conclusion
References
9 Data-Driven Event-Triggered Optimal Consensus Control for Nonlinear Multiagent Systems
9.1 Problem Formulation
9.2 Event-Triggered Optimal Consensus Control Design
9.3 Online Solution of Optimal Consensus Controllers Using Neural Networks
9.3.1 ETADP Approach
9.3.2 Smart Critic-Action Neural Networks Design
9.3.3 Stability Analysis
9.4 Simulation Example
9.5 Conclusion
References
Appendix Algebraic Graph Theorys
Index