刘庆泉， 沈阳理工大学副 授，研究生师。1998年本 毕业于南京理工大学， 后在东北大学分别获得通信与信息系统 业硕 学位 控 理论与控 工程 业博 学位，并在沈阳自动化研究所博 后流动 完成博 后研究工作，获“中国博 后 学基 资助项目”（一等资助）。本 毕业后在沈阳理工大学从 学工作，现为该校装备工程学 信息对抗技术 业 研室 任。 讲课程有：电子对抗技术、 测与识别技术、高频电子线路、信息论、DSP技术与应用等。 要的研究方向为：网络化控 系统、人驾驶飞 器控 系统等。目前已发表SCI/EI检 学术论文60多篇，出版学术 2部。 持 参与多项省部级纵向、横向 研项目。曾获得4项辽 省自然 学学术成果奖。

基于物联网的网络化控 技术 在逐渐形成，并受到关注，网络化控 技术 要应用于大城市交通系统的实时指挥 控 ，航空工业中的飞机 航自动化控 ，石油化工 冶 等连续流程工业的生产控 调整，战术 的数字化 控 ，网络赋能 药控 等。不同于以往的研究成果，《离散系统网络化控 理论：传输速率定理》针对网络通信信 传输速率受限的 况，研究了线性离散系统的网络化控 问题，在多 况下证 了确保系统可镇定的传输速率下界，给出了控 性能与传输速率之间固有的 衡关系，提出了新的量化、编码 控 策略，实现了控 与通信一体化设计。

1 Networked Control Schemes o The Basis of Infor*tio Theory
1.1 Stabiliz*io of Stochastic Linear Systems With D*a-R*e Constraints
1．1．1 Introdu*io
1．1．2 Problem Formul*io
1．1．3 Lower Bound of D*a R*es for Stabiliz*io
1.2 Observer-Based Dynamic Feedback Control Under Communic*io Constraints
1．2．1 Introdu*io
1．2．2 Problem St*ement and Preliminaries
1．2．3 Quantized Feedback Control Under D*a-R*e Limit*io
1．2．4 Numerical Example
1.3 A Quantiz*io and Coding Scheme Under Infor*tion-r*e Limit*io
1．3．1 Introdu*io
1．3．2 Problem Formul*io
1．3．3 Lower Bounds of Infor*tio R*e for Stabiliz*io
1．3．4 Simul*ions
References

2 Quantiz*ion， Coding， and Control Schemes Under D*a R*e Limit*ions
2.1 Quantized St*e Feedback Control Without Disturbances
2．1．1 Introdu*io
2．1．2 Problem Formul*io
2．1．3 The Bit-Alloc*io Algorit*
2．1．4 Numerical Example
2.2 Bit-Alloc*io Schemes for Systems with Disturbances
2．2．1 Introdu*io
2．2．2 Problem Formul*io
2．2．3 Bit-Alloc*io Schemes
2．2．4 Numerical Example
2.3 Dynamic Quantiz*io Schemes for Output Feedback Control
2．3．1 Introdu*io
2．3．2 Problem Formul*io
2．3．3 Output Feedback Control
2．3．4 Numerical Example
2.4 Feedback Control With Measurement Quantiz*io and Control Signal Quantiz*io
2．4．1 Introdu*io
2．4．2 Problem Formul*io
2．4．3 Control Under Communic*io Constraints
2．4．4 Numerical Example
References

3 Robust Control of Parameter Uncertai Systems Under D*a-R*e Constraints
3.1 Quantiz*io and Coding Schemes for Robust Control
3．1．1 Introdu*io
3．1．2 Problem Formul*io
3．1．3 Robust Control Under D*e-R*e Constraints
3．1．4 Numerical Example
3.2 A Time-Varying Recu*ive Alloc*io (TVRA) Algorit* for Robust Control
3．2．1 Introdu*io
3．2．2 Problem Formul*io
3．2．3 Time-Varying Recu*ive Alloc*io (TVRA) Algorit*
3．2．4 Numerical Example
References

4 Stabiliz*io of Linear Time-Invariant Systems Over Packet Dropout Communic*io Channels
4.1 Quantized St*e Feedback Control
4．1．1 Introdu*io
4．1．2 Problem Formul*io
4．1．3 Quantiz*ion， Coding， and Control Schemes
4．1．4 Numerical Example
4.2 Quantized Feedback Control For MIMO Systems
4．2．1 Introdu*io
4．2．2 Problem Formul*io
4．2．3 Quantiz*io and Control Schemes
4．2．4 Numerical Example
References

5 Stabiliz*io of Networked Control Systems with D*a-R*e Limit*ions and Time Delays
5.1 Stabiliz*io of Systems without Disturbances
5．1．1 Introdu*io
5．1．2 Problem Formul*io
5．1．3 Networked Control with Time Delays
5．1．4 Numerical Example
5.2 Stabiliz*io of Systems with Disturbances
5．2．1 Introdu*io
5．2．2 Problem Formul*io
5．2．3 Networked Control Under Communic*io Constraints
5．2．4 Numerical Example
5.3 Networked Control over Noisy Channel with Time Delays 151
5．3．1 Introdu*io 151
5．3．2 Problem Formul*io 152
5．3．3 Networked Control Under Communic*io Constraints 153
5．3．4 Numerical Example 157
5.4 Stabiliz*io of MIMO Control Systems
5．4．1 Introdu*io
5．4．2 Problem Formul*io
5．4．3 Networked Control Under D*a-R*e Limit*ions
5．4．4 Numerical Example
References

6 LQG Control of Linear Systems Under D*a-R*e Constraints
6.1 Quantized St*e Feedback Control
6．1．1 Introdu*io
6．1．2 Problem Formul*io
6．1．3 LQG Control Under D*a-R*e Constraints
6．1．4 Numerical Example
6.2 LQ Control of Networked Control Systems With Limited D*a R*es
6．2．1 Introdu*io
6．2．2 Problem Formul*io
6．2．3 LQ Control Under D*a-R*e Constraints
6．2．4 Numerical Example
6.3 Input and Output Quantized Control of LQG Systems under Infor*tio Limit*io
6．3．1 Introdu*io
6．3．2 Problem Formul*io
6．3．3 LQG Control Under D*e-R*e Constraints
6．3．4 Numerical Example
References