网络化控制系统（Networked Control Systems）是指系统中的设备经过通信网络交换信息的控制系统。网络化控制系统通过物联网连接了实体空间，可以在远距离下执行许多自动化控制任务。本书针对网络化控制系统中出现的数据传输延迟、数据包丢失、传输速率受限等情况，研究了线性系统状态观测问题，给出了量化器、编码器、解码器及控制器的设计方法，证明了确保系统可观测性和可稳定性的充分条件。 本书可作为高等学校自动化、检测技术、通信工程等相关专业大学本科生和研究生的双语教学用书，也可作为工程设计人员的参考书。
Chapter 1 Data-Rate Theorem for Networked Control Systems11.1 Linear Discrete-Time Systems11.1.1 Introduction11.1.2 Problem Formulation41.1.3 State Estimation under Data-Rate Limitations51.1.4 Numerical Examples and Simulations191.2 Linear Continuous Time-Invariant Systems211.2.1 Introduction221.2.2 Problem Formulation231.2.3 State Estimation under Information Limitations241.2.4 Numerical Examples and Simulations26References28Chapter 2 Coding Schemes for Observability and Stabilizability under Data-Rate Limitations312.1 Variable-Length Coding312.1.1 Introduction312.1.2 Problem Formulation332.1.3 Quantization， Coding and Control Schemes352.1.4 Sufficient Conditions for Observability and Stabilizability402.1.5 Numerical Examples and Simulations502.2 Fixed-Length Coding532.2.1 Introduction532.2.2 Problem Formulation542.2.3 Quantization and Coding552.2.4 Numerical Examples and Simulations612.3 Time-Varying Coding622.3.1 Introduction632.3.2 Problem Formulation642.3.3 Quantization and Coding652.3.4 Numerical Examples and Simulations72References74Chapter 3 State Estimation under Data-Rate Limitations783.1 Scalar Linear Continuous Time-Invariant Systems783.1.1 Introduction783.1.2 Problem Formulation793.1.3 Conditions on the Constant Data Rate for Observability803.1.4 Numerical Examples and Simulations833.2 Multi-Input Multi-Output Linear Systems853.2.1 Introduction853.2.2 Problem Formulation863.2.3 Conditions on the Constant Data Rate for Observability883.2.4 Numerical Examples and Simulations913.3 Jordan Canonical Form of System Matrix933.3.1 Introduction933.3.2 Problem Formulation943.3.3 A Lower Bound on the Data Rate for Observability963.4 Linear Discrete-Time Systems with Extreme Data-Rate Limitations1003.4.1 Introduction1003.4.2 Problem Formulation1013.4.3 Optimal Encoder and Decoder Design1023.4.4 Numerical Examples and Simulations1053.5 Linear Continuous-Time Systems with Extreme Data-Rate Limitations1063.5.1 Introduction1073.5.2 Problem Formulation1083.5.3 Conditions for Observability1093.5.4 Numerical Examples and Simulations112References113Chapter 4 Observability and Stabilizability of Linear Systems with Time Delays1174.1 Systems with Random Time Delays1174.1.1 Introduction1174.1.2 Problem Formulation1194.1.3 State Estimation over Channels with Random Time Delays1204.1.4 Numerical Examples and Simulations1244.2 Systems with Random Time Delays and Limited Data-Rates1264.2.1 Introduction1264.2.2 Problem Formulation1274.2.3 Optimal Encoder and Decoder Design1304.2.4 Conditions for Observability1324.2.5 Numerical Examples and Simulations1424.3 Systems with Fixed Time Delay1464.3.1 Introduction1464.3.2 Problem Formulation1474.3.3 Control under Communication Constraints1484.3.4 Numerical Examples and Simulations152References154Chapter 5 State Estimation over Limited Capacity and Dropout Channels1585.1 Observability over an AWGN Channel1585.1.1 Introduction1585.1.2 Problem Formulation1595.1.3 State Estimation over AWGN Channels1605.1.4 Numerical Examples and Simulations1635.2 Observability under Packet Dropout and Time Delay1655.2.1 Introduction1655.2.2 Problem Formulation1665.2.3 Sufficient Conditions for Observability1675.2.4 Numerical Examples and Simulations170References173Chapter 6 Linear Quadratic Control for Networked Control Systems with Information Limitations1766.1 LQ Cost for Plant States1766.1.1 Introduction1766.1.2 Problem Formulation1776.1.3 LQ Control under Information Limitations1786.2 LQ Cost for Plant States and Control Inputs1846.2.1 Introduction1846.2.2 Problem Formulation1866.2.3 Control Scheme under Information Rate Limitations1866.2.4 Numerical Examples and Simulations190References192
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