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    • 网络系统的分布式协同模型预测控制(英文版)
      • 作者:邹媛媛//李少远|责编:万忻欣//宋辉
      • 出版社:化学工业
      • ISBN:9787122457028
      • 出版日期:2024/09/01
      • 页数:174
    • 售价:35.2
  • 内容大纲

        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。
  • 作者介绍

  • 目录

    Chapter 1  Introduction
      1.1  Networked Control System
      1.2  Model Predictive Control
      1.3  Distributed Model Predictive Control
      1.4  Event Triggered Control
      1.5  Outline of This Book
      References
    Chapter 2  DMPC of Networked Systems with Event-Triggered Computation
      2.1  Introduction
      2.2  DMPC with a Cooperative Event-Triggered Computation Mechanism
        2.2.1  Optimization Problem Formulation
        2.2.2  Cooperative Event-Triggering Condition
        2.2.3  Cooperative Event-Triggered DMPC Algorithm
        2.2.4  Feasibility and Stability Analysis of the Overall Closed-Loop System
        2.2.5  Example
      2.3  DMPC with a Decentralized Event-Triggered Computation Mechanism
        2.3.1  Optimization Problem Formulation
        2.3.2  Decentralized Event-Triggering Condition
        2.3.3  Event-Triggered Dual-Mode DMPC Algorithm
        2.3.4  Feasibility and Stability Analysis of the Overall Closed-Loop System
        2.3.5  Example
      2.4  Discussion
      References
    Chapter 3  DMPC of Networked Systems with Event-Triggered Communication
      3.1  Introduction
      3.2  Optimization Problem Formulation
      3.3  DMPC with Event-Triggered Communication
        3.3.1  Event-Triggered Condition
        3.3.2  DMPC Algorithm with Event-Triggered Communication
      3.4  Feasibility and Stability Analysis
      3.5  Example
      3.6  Conclusion
      References
    Chapter 4  Dynamic Event-Triggered DMPC of Networked Systems
      4.1  Introduction
      4.2  Optimization Problem Formulation
      4.3  Event-Triggering Condition
      4.4  Dynamic Event-Triggering Condition
      4.5  Dynamic Event-Triggered DMPC Algorithm
      4.6  Performance Analysis
      4.7  Example
      4.8  Conclusion
      References
    Chapter 5  Mixed Time/Event-Triggered DMPC of Networked Systems
      5.1  Introduction
      5.2  Problem Formulation
        5.2.1  Event-Triggered DMPC Optimization Problem
        5.2.2  Time-Triggered DMPC Optimization Problem
      5.3  Mixed Time/Event-Triggered Dual-Mode DMPC
        5.3.1  Event-Triggering Condition

        5.3.2  Mixed Time/Event-Triggered Dual-Mode DMPC Algorithm
      5.4  Feasibility and Stability Analysis
      5.5  Example
      5.6  Conclusion
      References
    Chapter 6  Self-Triggered DMPC of Networked Systems
      6.1  Introduction
      6.2  Problem Formulation
      6.3  Co-Design of Self-Triggered Mechanism and DMPC Strategy
        6.3.1  Self-Triggered DMPC Optimization Control Problem
        6.3.2  Explicit Solution of the Self-Triggered MPC
        6.3.3  Self-Triggered DMPC Algorithm
      6.4  Stability Analysis
      6.5  Example
      6.6  Conclusion
      References
    Chapter 7  Event-Triggered Distributed Model Predictive Control for Interconnected Networked Systems
      7.1  Introduction
      7.2  Optimization Problem Formulation
      7.3  Event-Triggering Conditions for NCSs with Dynamic Coupling
      7.4  Event-Triggered DMPC Algorithm for Interconnected NCSs
      7.5  Feasibility and Stability Analysis
      7.6  Example
      7.7  Conclusion
      References