《網路化控制系統狀態觀測理論（英文版）》是2022年電子工業出版社出版的圖書，作者是胡曉陽。
基本介紹
- 中文名：網路化控制系統狀態觀測理論（英文版）
- 作者：胡曉陽
- 出版社：電子工業出版社
- 出版時間：2022年12月
- 頁數：204 頁
- 定價：108 元
- 開本：16 開
- ISBN：9787121435072
內容簡介,圖書目錄,
內容簡介
網路化控制系統（Networked Control Systems）是指系統中的設備經過通信網路交換信息的控制系統。網路化控制系統通過物聯網連線了實體空間，可以在遠距離下執行許多自動化控制任務。本書針對網路化控制系統中出現的數據傳輸延遲、數據包丟失、傳輸速率受限等情況，研究了線性系統狀態觀測問題，給出了量化器、編碼器、解碼器及控制器的設計方法，證明了確保系統可觀測性和可穩定性的充分條件。 本書可作為高等學校自動化、檢測技術、通信工程等相關專業大學本科生和研究生的雙語教學用書，也可作為工程設計人員的參考書。
圖書目錄
Chapter 1 Data-Rate Theorem for Networked Control Systems 1
1.1 Linear Discrete-Time Systems 1
1.1.1 Introduction 1
1.1.2 Problem Formulation 4
1.1.3 State Estimation under Data-Rate Limitations 5
1.1.4 Numerical Examples and Simulations 19
1.2 Linear Continuous Time-Invariant Systems 21
1.2.1 Introduction 22
1.2.2 Problem Formulation 23
1.2.3 State Estimation under Information Limitations 24
1.2.4 Numerical Examples and Simulations 26
References 28
Chapter 2 Coding Schemes for Observability and Stabilizability under
Data-Rate Limitations 31
2.1 Variable-Length Coding 31
2.1.1 Introduction 31
2.1.2 Problem Formulation 33
2.1.3 Quantization, Coding and Control Schemes 35
2.1.4 Sufficient Conditions for Observability and Stabilizability 40
2.1.5 Numerical Examples and Simulations 50
2.2 Fixed-Length Coding 53
2.2.1 Introduction 53
2.2.2 Problem Formulation 54
2.2.3 Quantization and Coding 55
2.2.4 Numerical Examples and Simulations 61
2.3 Time-Varying Coding 62
2.3.1 Introduction 63
2.3.2 Problem Formulation 64
2.3.3 Quantization and Coding 65
2.3.4 Numerical Examples and Simulations 72
References 74
Chapter 3 State Estimation under Data-Rate Limitations 78
3.1 Scalar Linear Continuous Time-Invariant Systems 78
3.1.1 Introduction 78
3.1.2 Problem Formulation 79
3.1.3 Conditions on the Constant Data Rate for Observability 80
3.1.4 Numerical Examples and Simulations 83
3.2 Multi-Input Multi-Output Linear Systems 85
3.2.1 Introduction 85
3.2.2 Problem Formulation 86
3.2.3 Conditions on the Constant Data Rate for Observability 88
3.2.4 Numerical Examples and Simulations 91
3.3 Jordan Canonical Form of System Matrix 93
3.3.1 Introduction 93
3.3.2 Problem Formulation 94
3.3.3 A Lower Bound on the Data Rate for Observability 96
3.4 Linear Discrete-Time Systems with Extreme Data-Rate Limitations 100
3.4.1 Introduction 100
3.4.2 Problem Formulation 101
3.4.3 Optimal Encoder and Decoder Design 102
3.4.4 Numerical Examples and Simulations 105
3.5 Linear Continuous-Time Systems with Extreme Data-Rate Limitations 106
3.5.1 Introduction 107
3.5.2 Problem Formulation 108
3.5.3 Conditions for Observability 109
3.5.4 Numerical Examples and Simulations 112
References 113
Chapter 4 Observability and Stabilizability of Linear Systems with Time
Delays 117
4.1 Systems with Random Time Delays 117
4.1.1 Introduction 117
4.1.2 Problem Formulation 119
4.1.3 State Estimation over Channels with Random Time Delays 120
4.1.4 Numerical Examples and Simulations 124
4.2 Systems with Random Time Delays and Limited Data-Rates 126
4.2.1 Introduction 126
4.2.2 Problem Formulation 127
4.2.3 Optimal Encoder and Decoder Design 130
4.2.4 Conditions for Observability 132
4.2.5 Numerical Examples and Simulations 142
4.3 Systems with Fixed Time Delay 146
4.3.1 Introduction 146
4.3.2 Problem Formulation 147
4.3.3 Control under Communication Constraints 148
4.3.4 Numerical Examples and Simulations 152
References 154
Chapter 5 State Estimation over Limited Capacity and Dropout Channels 158
5.1 Observability over an AWGN Channel 158
5.1.1 Introduction 158
5.1.2 Problem Formulation 159
5.1.3 State Estimation over AWGN Channels 160
5.1.4 Numerical Examples and Simulations 163
5.2 Observability under Packet Dropout and Time Delay 165
5.2.1 Introduction 165
5.2.2 Problem Formulation 166
5.2.3 Sufficient Conditions for Observability 167
5.2.4 Numerical Examples and Simulations 170
References 173
Chapter 6 Linear Quadratic Control for Networked Control Systems with
Information Limitations 176
6.1 LQ Cost for Plant States 176
6.1.1 Introduction 176
6.1.2 Problem Formulation 177
6.1.3 LQ Control under Information Limitations 178
6.2 LQ Cost for Plant States and Control Inputs 184
6.2.1 Introduction 184
6.2.2 Problem Formulation 186
6.2.3 Control Scheme under Information Rate Limitations 186
6.2.4 Numerical Examples and Simulations 190
References 192
