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。

胡晓阳，男，沈阳理工大学副教授，研究生导师。1979年6月生，2002年于北京航空航天大学获工学学士学位，2009年于俄罗斯科学院机械工程研究所获工学博士学位。参与国家重点项目2项，主持纵向和横向科研项目9项，发表论文20余篇。

Chapter 1 Data-Rate Theorem for Networked Control Systems
1.1 Linear Discrete-Time Systems
1.1.1 Introduction
1.1.2 Problem Formulation
1.1.3 State Estimation under Data-Rate Liimitatimns
1.1.4 Numerical Examples and Simulations
1.2 Linear Continuous Time-Invariant Systems
1.2.1 Introduction
1.2.2 Problem Formulation
1.2.3 State Estimation under Information Limitations
1.2.4 Numerical Examples and Simulations
References
Chapter 2 Coding Schemes for Observability and Stabilizability under Data-Rate Limitations
2.1 Variable-Length Coding
2.1.1 Introduction
2.1.2 Problem Formulation
2.1.3 Quantization, Coding and Control Schemes
2.1.4 Sufficient Conditions for Observability and Stabilizability
2.1.5 Numerical Examples and Simulations
2.2 Fixed-Length Coding
2.2.1 Introduction
2.2.2 Problem Formulation
2.2.3 Quantization and Coding
2.2.4 Numerical Examples and Simulations
2.3 Time-Varying Coding
2.3.1 Introduction
2.3.2 Problem Formulation
2.3.3 Quantization and Coding
2.3.4 Numerical Examples and Simulations
References
Chapter 3 State Estimation under Data-Rate Limitations
3.1 Scalar Linear Continuous Time-Invariant Systems
3.1.1 Introduction
3.1.2 Problem Formulation
3.1.3 Conditions on the Constant Data Rate for Observability
3.1.4 Numerical Examples and Simulations
3.2 Multi-Input Multi-Output Linear Systems
3.2.1 Introduction
3.2.2 Problem Formulation
3.2.3 Conditions on the Constant Data Rate for Observability
3.2.4 Numerical Examples and Simulations
3.3 Jordan Canonical Form of System Matrix
3.3.1 Introduction
3.3.2 Problem Formulation
3.3.3 A Lower Bound on the Data Rate for Observability
3.4 Linear Discrete-Time Systems with Extreme Data-Rate Limitations
3.4.1 Introduction
3.4.2 Problem Formulation
3.4.3 Optimal Encoder and Decoder Design
3.4.4 Numerical Examples and Simulations
3.5 Linear Continuous-Time Systems with Extreme Data-Rate Limitations
3.5.1 Introduction
3.5.2 Problem Formulation
3.5.3 Conditions for Observability
3.5.4 Numerical Examples and Simulations
References
Chapter 4 Observability and Stabilizability of Linear Systems with Time Delays
4.1 Systems with Random Time Delays
4.1.1 Introduction
4.1.2 Problem Formulation
4.1.3 State Estimation over Channels with Random Time Delays
4.1.4 Numerical Examples and Simulations
4.2 Systems with Random Time Delays and Limited Data-Rate
4.2.1 Introduction
4.2.2 Problem Formulation
4.2.3 Optimal Encoder and Decoder Design
4.2.4 Conditions for Observability
4.2.5 Numerical Examples and Simulations
4.3 Systems with Fixed Time Delay
4.3.1 Introduction
4.3.2 Problem Formulation
4.3.3 Control under Communication Constraints
4.3.4 Numerical Examples and Simulations
References
Chapter 5 State Estimation over Limited Capacity and Dropout Channels
5.1 Observability over an AWGN Channel
5.1.1 Introduction
5.1.2 Problem Formulation
5.1.3 State Estimation over AWGN Channels
5.1.4 Numerical Examples and Simulations
5.2 Observability under Packet Dropout and Time Delay
5.2.1 Introduction
5.2.2 Problem Formulation
5.2.3 Sufficient Conditions for Observability
5.2.4 Numerical Examples and Simulations
References
Chapter 6 Linear Quadratic Control for Networked Control Systems withInformation Limitations
6.1 LQ Cost for Plant States
6.1.1 Introduction
6.1.2 Problem Formulation
6.1.3 LQ Control under Information Limitations
6.2 LQ Cost for Plant States and Control Inputs
6.2.1 Introduction
6.2.2 Problem Formulation
6.2.3 Control Scheme under Information Rate Limitations
6.2.4 Numerical Examples