網(wǎng)絡(luò)化控制系統(tǒng)（NCS）是將通訊網(wǎng)絡(luò)引入到傳統(tǒng)控制系統(tǒng)實(shí)現(xiàn)系統(tǒng)元件間信息交互的一類先進(jìn)控制系統(tǒng),具有低成本、易維護(hù)、信息共享和遠(yuǎn)程控制等優(yōu)點(diǎn),已經(jīng)被廣泛應(yīng)用于諸多現(xiàn)代工業(yè)控制系統(tǒng)。同時(shí),通訊網(wǎng)絡(luò)引入的網(wǎng)絡(luò)誘導(dǎo)因素（如網(wǎng)絡(luò)時(shí)延和數(shù)據(jù)丟包等）直接影響系統(tǒng)的穩(wěn)定性和性能,給系統(tǒng)的分析和綜合帶來了新的挑戰(zhàn)。一些傳統(tǒng)控制理論（如比例積分（PI）控制、模糊控制等）可能不再適用于NCS,亟待重新深入研究。本文將考慮網(wǎng)絡(luò)通訊過程中時(shí)延和數(shù)據(jù)丟包等因素,采用狀態(tài)增廣方法研究如下三類問題:（i）一類連續(xù)線性系統(tǒng)的網(wǎng)絡(luò)化PI控制問題及其在無線網(wǎng)絡(luò)環(huán)境下輪邊驅(qū)動(dòng)系統(tǒng)（DDW）車身調(diào)高的應(yīng)用;（ii）一類具有常值輸入和時(shí)變采樣的連續(xù)線性系統(tǒng)的網(wǎng)絡(luò)化輸出跟蹤控制問題及其在DDW速度跟蹤的應(yīng)用;（iii）一類具有傳感器飽和和測(cè)量噪聲的離散非線性系統(tǒng)的網(wǎng)絡(luò)化模糊靜態(tài)輸出反饋控制問題。具體研究?jī)?nèi)容如下:（i）同時(shí)考慮網(wǎng)絡(luò)誘導(dǎo)時(shí)延和隨機(jī)數(shù)據(jù)包丟失,通過引入兩種不同的輸入時(shí)延狀態(tài)分別刻畫比例和積分控制輸入,利用狀態(tài)增廣方法建立帶有兩個(gè)輸入時(shí)延的連續(xù)時(shí)間方程與脈沖時(shí)刻重置方程的隨機(jī)脈沖時(shí)滯系統(tǒng)。針對(duì)該系統(tǒng),構(gòu)造包含不連續(xù)項(xiàng)以... 

【文章頁數(shù)】：91 頁

【學(xué)位級(jí)別】：碩士

【文章目錄】：
Chinese abstract
ABSTRACT
Chapter 1 Introduction
    1.1 Research background and significance
    1.2 Literature review
        1.2.1 Network-based PI control
        1.2.2 Direct-Drive-Wheel system
        1.2.3 Networked fuzzy static output feedback control
    1.3 Main contributions
    1.4 Notations
Chapter 2 Networked dynamic modeling and PI control for Direct-Drive-Wheelsystems with bounded network delays and stochastic dropouts
    2.1 Network-based modeling and PI control problem formulation
    2.2 Main results
        2.2.1 Stochastic stability and ∞ performance analysis
        2.2.2 The network-based PI control design algorithm
    2.3 Simulation examples
    2.4 Summary
Chapter 3 Network-based PI control for output tracking of continuous-time systemswith time-varying sampling and network-induced delays
    3.1 Output tracking problem formulation via network-based PI control
        3.1.1 Traditional PI control system description
        3.1.2 Network-based PI control system modeling
    3.2 Stability analysis of network-based PI control system
    3.3 A case study: network-based PI controller design of in-wheel motor
    3.4 Summary
Chapter 4 Networked fuzzy output feedback control for discrete-time Takagi-Sugenofuzzy systems with sensor saturation and measurement noise
    4.1 Problem statement
    4.2 Main results
        4.2.1 H_∞ performance analysis of asynchronous T-S fuzzy system
        4.2.2 Fuzzy static output controller design
    4.3 Simulation example
    4.4 Summary
Chapter 5 Conclusions and future work
    5.1 Conclusions
    5.2 Future work
References
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Acknowledgements
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