Distributed Cooperative Model Predictive Control of Networked Systems(网络系统的分布式协同模型预测控制)

本书聚焦分布式网络化系统的高效协同控制问题，基于事件触发技术给出分布式预测控制器的设计和子系统协同方法，针对不同的控制需求对控制方法进行改进，实现系统控制性能、计算资源、通信资源的折中。本书提出了一种基于时间/事件混合触发的分布式模型预测控制（DMPC）方法，并对其可行性和稳定性进行了详细分析。本书所提的事件触发分布式模型预测控制方法具有独到的创新性和实用性，可应用于生产制造、智能电网、城市交通等领域，有助于实现大规模网络化系统的高效协同控制，为网络化系统智能控制提供理论和技术支撑。 本书为英文版，可供自动化及相关领域科研人员阅读，也可以作为相关专业研究生教材。

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Chapter 1 Introduction 1 1.1 Networked Control System 1 1.2 Model Predictive Control 5 1.3 Distributed Model Predictive Control 8 1.4 Event Triggered Control 13 1.5 Outline of This Book 16 References 18 Chapter 2 DMPC of Networked Systems with Event-Triggered Computation 27 2.1 Introduction 27 2.2 DMPC with a Cooperative Event-Triggered Computation Mechanism 29 2.2.1 Optimization Problem Formulation 29 2.2.2 Cooperative Event-Triggering Condition 33 2.2.3 Cooperative Event-Triggered DMPC Algorithm 36 2.2.4 Feasibility and Stability Analysis of the Overall Closed-Loop System 37 2.2.5 Example 41 2.3 DMPC with a Decentralized Event-Triggered Computation Mechanism 44 2.3.1 Optimization Problem Formulation 44 2.3.2 Decentralized Event-Triggering Condition 47 2.3.3 Event-Triggered Dual-Mode DMPC Algorithm 50 2.3.4 Feasibility and Stability Analysis of the Overall Closed-Loop System 50 2.3.5 Example 52 2.4 Discussion 55 References 56 Chapter 3 DMPC of Networked Systems with Event-Triggered Communication 57 3.1 Introduction 57 3.2 Optimization Problem Formulation 58 3.3 DMPC with Event-Triggered Communication 60 3.3.1 Event-Triggered Condition 60 3.3.2 DMPC Algorithm with Event-Triggered Communication 67 3.4 Feasibility and Stability Analysis 68 3.5 Example 70 3.6 Conclusion 75 References 75 Chapter 4 Dynamic Event-Triggered DMPC of Networked Systems 77 4.1 Introduction 77 4.2 Optimization Problem Formulation 79 4.3 Event-Triggering Condition 80 4.4 Dynamic Event-Triggering Condition 84 4.5 Dynamic Event-Triggered DMPC Algorithm 86 4.6 Performance Analysis 87 4.7 Example 90 4.8 Conclusion 93 References 93 Chapter 5 Mixed Time/Event-Triggered DMPC of Networked Systems 95 5.1 Introduction 95 5.2 Problem Formulation 96 5.2.1 Event-Triggered DMPC Optimization Problem 98 5.2.2 Time-Triggered DMPC Optimization Problem 99 5.3 Mixed Time/Event-Triggered Dual-Mode DMPC 101 5.3.1 Event-Triggering Condition 101 5.3.2 Mixed Time/Event-Triggered Dual-Mode DMPC Algorithm 105 5.4 Feasibility and Stability Analysis 107 5.5 Example 113 5.6 Conclusion 118 References 118 Chapter 6 Self-Triggered DMPC of Networked Systems 121 6.1 Introduction 121 6.2 Problem Formulation 123 6.3 Co-Design of Self-Triggered Mechanism and DMPC Strategy 124 6.3.1 Self-Triggered DMPC Optimization Control Problem 124 6.3.2 Explicit Solution of the Self-Triggered MPC 127 6.3.3 Self-Triggered DMPC Algorithm 130 6.4 Stability Analysis 131 6.5 Example 133 6.6 Conclusion 140 References 141 Chapter 7 Event-Triggered Distributed Model Predictive Control for Interconnected Networked Systems 143 7.1 Introduction 143 7.2 Optimization Problem Formulation 145 7.3 Event-Triggering Conditions for NCSs with Dynamic Coupling 151 7.4 Event-Triggered DMPC Algorithm for Interconnected NCSs 156 7.5 Feasibility and Stability Analysis 158 7.6 Example 165 7.7 Conclusion 173 References 173