多加权多延迟大规模系统的事件触发分布式输出反馈控制

发布时间：2021-03-01 08:32

　　近年来,大型互联系统因其能模拟大量现代工程系统而受到控制界的广泛关注。大型互联系统的例子包括电力网络、多机器人系统、运输网络、工业化学过程、制造系统、自适应光学系统、水系统和经济和/或社会系统。在这种高科技工程系统中,子系统的数量不断增加,导致其复杂性呈指数级激增。这种复杂系统设计中的灵活性和冗余性可以通过在子系统之间设置多条耦合链路来改善。这使得开发分析框架以设计具有多条耦合链路或子系统间互联的大型动态系统的需求激增。多加权和多延迟大型互联系统的特点是相邻子系统之间具有多条耦合链路,并且假设所有链路具有不同的耦合权重和延迟。本论文的主要目的是研究大规模互联系统的事件触发分布式输出反馈控制问题。首先,描述了一种事件触发分布式动态输出反馈控制方法,用于量化、丢包和随机欺骗攻击的多权重和多延迟大规模互联系统的耗散稳定。建立了一种分布式动态输出反馈控制器,该控制器能有效地处理子系统互连的影响,保证系统在严格给定的（Q,S,R）耗散性能下的随机稳定性。设计了一种与输出相关的离散时间事件触发控制机制,以减少系统内通信事件的发生。同时通过使用对数量化来减小数据包的大小从而进一步节约网络资源。此外,... 

【文章来源】：中国科学技术大学安徽省 211工程院校 985工程院校

【文章页数】：124 页

【学位级别】：博士

【文章目录】：
摘要
ABSTRACT
Chapter 1 Introduction
    1.1 Centralized, Decentralized and Distributed Control
    1.2 Techniques for the Conservation of Communication Resources
        1.2.1 Quantization
        1.2.2 Event-triggered Control
    1.3 Contributions of the Thesis
    1.4 Innovations in the Thesis
    1.5 Organization of the Thesis
Chapter 2 Literature Review
    2.1 ETMs in Large-scale Interconnected Systems
        2.1.1 Static ETM
        2.1.2 State-dependent ETM
        2.1.3 Time-dependent ETM
        2.1.4 Lyapunov-based ETM
        2.1.5 Model-based ETM
        2.1.6 Parsimonious ETM
    2.2 Data Communication Protocols in Large-scale Interconnected Systems
    2.3 Event-triggered Control of Large-scale Interconnected Systems
        2.3.1 State-feedback Control
        2.3.2 Output-feedback Control
        2.3.3 Model-based Control
    2.4 Conclusion
Chapter 3 Event-triggered Distributed Dynamic Output-feedback Dissipative Control of Multi-weighted and Multi-delayed Largescale Systems
    3.1 Introduction
    3.2 Problem Formulation
        3.2.1 Subsystem Dynamics
        3.2.2 Event-triggering Mechanism
        3.2.3 Signal Quantization
        3.2.4 Network Communication
        3.2.5 Distributed DOFC
        3.2.6 Augmented Closed-loop System
    3.3 Main Results
        3.3.1 Conditions for Strict （Q, S, R）-Dissipative Stabilization
        3.3.2 Distributed Dynamic Output Feedback Controller Design
    3.4 A Numerical Example
    3.5 Summary
Chapter 4 Event-triggered Distributed Fault Detection and Control of Multi-weighted and Multi-delayed Large-scale Systems
    4.1 Introduction
    4.2 Problem Formulation
        4.2.1 Subsystem Dynamics
        4.2.2 Event-triggering Mechanism in Subsystems
        4.2.3 Measured Output Quantization in Subsystems
        4.2.4 Redundant Channel Communication and Deception Attacks
        4.2.5 Fault Detector and Controller Module
        4.2.6 Fault-weighting System
        4.2.7 Fault Detection Criteria
        4.2.8 Augmented Closed-Loop System
    4.3 Main Results
        4.3.1 Conditions for Extended Dissipative Stabilization
        4.3.2 Controller Design for Extended Dissipative Stabilization
        4.3.3 Conditions for Robust Fault Detection
        4.3.4 Design Method for Robust Fault Detector
        4.3.5 Solution to SFDC Problem
    4.4 A Numerical Example
    4.5 Summary
Chapter 5 Conclusion and Future Research
    5.1 Summary of Contributions
    5.2 Future Research
Bibliography
Publications



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