近年來,大型互聯(lián)系統(tǒng)因其能模擬大量現(xiàn)代工程系統(tǒng)而受到控制界的廣泛關(guān)注。大型互聯(lián)系統(tǒng)的例子包括電力網(wǎng)絡(luò)、多機器人系統(tǒng)、運輸網(wǎng)絡(luò)、工業(yè)化學(xué)過程、制造系統(tǒng)、自適應(yīng)光學(xué)系統(tǒng)、水系統(tǒng)和經(jīng)濟和/或社會系統(tǒng)。在這種高科技工程系統(tǒng)中,子系統(tǒng)的數(shù)量不斷增加,導(dǎo)致其復(fù)雜性呈指數(shù)級激增。這種復(fù)雜系統(tǒng)設(shè)計中的靈活性和冗余性可以通過在子系統(tǒng)之間設(shè)置多條耦合鏈路來改善。這使得開發(fā)分析框架以設(shè)計具有多條耦合鏈路或子系統(tǒng)間互聯(lián)的大型動態(tài)系統(tǒng)的需求激增。多加權(quán)和多延遲大型互聯(lián)系統(tǒng)的特點是相鄰子系統(tǒng)之間具有多條耦合鏈路,并且假設(shè)所有鏈路具有不同的耦合權(quán)重和延遲。本論文的主要目的是研究大規(guī)�；ヂ�(lián)系統(tǒng)的事件觸發(fā)分布式輸出反饋控制問題。首先,描述了一種事件觸發(fā)分布式動態(tài)輸出反饋控制方法,用于量化、丟包和隨機欺騙攻擊的多權(quán)重和多延遲大規(guī)�；ヂ�(lián)系統(tǒng)的耗散穩(wěn)定。建立了一種分布式動態(tài)輸出反饋控制器,該控制器能有效地處理子系統(tǒng)互連的影響,保證系統(tǒng)在嚴(yán)格給定的（Q,S,R）耗散性能下的隨機穩(wěn)定性。設(shè)計了一種與輸出相關(guān)的離散時間事件觸發(fā)控制機制,以減少系統(tǒng)內(nèi)通信事件的發(fā)生。同時通過使用對數(shù)量化來減小數(shù)據(jù)包的大小從而進一步節(jié)約網(wǎng)絡(luò)資源。此外,... 

【文章來源】：中國科學(xué)技術(shù)大學(xué)安徽省 211工程院校 985工程院校

【文章頁數(shù)】：124 頁

【學(xué)位級別】：博士

【文章目錄】：
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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