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离散系统网络化控制理论：传输速率定理

作者: 刘庆泉著 , 金芳著 , 丁国华著 , 袁志华著

出版社: 电子工业出版社

出版时间: 2015-01

版次: 1

ISBN: 9787121249792

定价: 42.00

装帧: 平装

开本: 16开

纸张: 胶版纸

页数: 208页

字数: 291千字

正文语种: 英语

分类: 工程技术

5 张插图图片

6人买过

　　基于物联网的网络化控制技术正在逐渐形成，并受到关注，网络化控制技术主要应用于大城市交通系统的实时指挥和控制，航空工业中的飞机导航自动化控制，石油化工和冶金等连续流程工业的生产控制和调整，战术导弹的数字化制导控制，网络赋能弹药控制等。不同于以往的研究成果，《离散系统网络化控制理论：传输速率定理》针对网络通信信道传输速率受限的情况，研究了线性离散系统的网络化控制问题，在多种情况下证明了确保系统可镇定的传输速率下界，给出了控制性能与传输速率之间固有的平衡关系，提出了新的量化、编码和控制策略，实现了控制与通信一体化设计。　　刘庆泉，男，沈阳理工大学副教授，研究生导师。1998年本科毕业于南京理工大学，随后在东北大学分别获得通信与信息系统专业硕士学位和控制理论与控制工程专业博士学位，并在中国科学院沈阳自动化研究所博士后流动站完成博士后研究工作，获“中国博士后科学基金资助项目”（一等资助）。本科毕业后在沈阳理工大学从事教学工作，现为该校装备工程学院信息对抗技术专业教研室主任。主讲课程有：电子对抗技术、探测与识别技术、高频电子线路、信息论、DSP技术与应用等。主要的研究方向为：网络化控制系统、人驾驶飞行器控制系统等。目前已发表SCI/EI检索学术论文60多篇，出版学术专著2部。主持和参与多项省部级纵向、横向科研项目。曾获得4项辽宁省自然科学学术成果奖。 1 Networked Control Schemes on The Basis of Information Theory
1.1 Stabilization of Stochastic Linear Systems With Data-Rate Constraints
1．1．1 Introduction
1．1．2 Problem Formulation
1．1．3 Lower Bound of Data Rates for Stabilization
1.2 Observer-Based Dynamic Feedback Control Under Communication    Constraints
1．2．1 Introduction
1．2．2 Problem Statement and Preliminaries
1．2．3 Quantized Feedback Control Under Data-Rate Limitation
1．2．4 Numerical Example
1.3 A Quantization and Coding Scheme Under Information-rate Limitation
1．3．1 Introduction
1．3．2 Problem Formulation
1．3．3 Lower Bounds of Information Rate for Stabilization
1．3．4 Simulations
References

2 Quantization， Coding， and Control Schemes Under Data   Rate Limitations
2.1 Quantized State Feedback Control Without Disturbances
2．1．1 Introduction
2．1．2 Problem Formulation
2．1．3 The Bit-Allocation Algorithm
2．1．4 Numerical Example
2.2 Bit-Allocation Schemes for Systems with Disturbances
2．2．1 Introduction
2．2．2 Problem Formulation
2．2．3 Bit-Allocation Schemes
2．2．4 Numerical Example
2.3 Dynamic Quantization Schemes for Output Feedback Control
2．3．1 Introduction
2．3．2 Problem Formulation
2．3．3 Output Feedback Control
2．3．4 Numerical Example
2.4 Feedback Control With Measurement Quantization and Control   Signal Quantization
2．4．1 Introduction
2．4．2 Problem Formulation
2．4．3 Control Under Communication Constraints
2．4．4 Numerical Example
References

3 Robust Control of Parameter Uncertain Systems Under Data-Rate  Constraints
3.1 Quantization and Coding Schemes for Robust Control
3．1．1 Introduction
3．1．2 Problem Formulation
3．1．3 Robust Control Under Date-Rate Constraints
3．1．4 Numerical Example
3.2 A Time-Varying Recursive Allocation (TVRA) Algorithm for   Robust Control
3．2．1 Introduction
3．2．2 Problem Formulation
3．2．3 Time-Varying Recursive Allocation (TVRA) Algorithm
3．2．4 Numerical Example
References

4 Stabilization of Linear Time-Invariant Systems Over Packet Dropout  Communication Channels
4.1 Quantized State Feedback Control
4．1．1 Introduction
4．1．2 Problem Formulation
4．1．3 Quantization， Coding， and Control Schemes
4．1．4 Numerical Example
4.2 Quantized Feedback Control For MIMO Systems
4．2．1 Introduction
4．2．2 Problem Formulation
4．2．3 Quantization and Control Schemes
4．2．4 Numerical Example
References

5 Stabilization of Networked Control Systems with Data-Rate   Limitations and Time Delays
5.1 Stabilization of Systems without Disturbances
5．1．1 Introduction
5．1．2 Problem Formulation
5．1．3 Networked Control with Time Delays
5．1．4 Numerical Example
5.2 Stabilization of Systems with Disturbances
5．2．1 Introduction
5．2．2 Problem Formulation
5．2．3 Networked Control Under Communication Constraints
5．2．4 Numerical Example
5.3 Networked Control over Noisy Channel with Time Delays 151
5．3．1 Introduction 151
5．3．2 Problem Formulation 152
5．3．3 Networked Control Under Communication Constraints 153
5．3．4 Numerical Example 157
5.4 Stabilization of MIMO Control Systems
5．4．1 Introduction
5．4．2 Problem Formulation
5．4．3 Networked Control Under Data-Rate Limitations
5．4．4 Numerical Example
References

6 LQG Control of Linear Systems Under Data-Rate Constraints
6.1 Quantized State Feedback Control
6．1．1 Introduction
6．1．2 Problem Formulation
6．1．3 LQG Control Under Data-Rate Constraints
6．1．4 Numerical Example
6.2 LQ Control of Networked Control Systems With Limited Data Rates
6．2．1 Introduction
6．2．2 Problem Formulation
6．2．3 LQ Control Under Data-Rate Constraints
6．2．4 Numerical Example
6.3 Input and Output Quantized Control of LQG Systems under Information Limitation
6．3．1 Introduction
6．3．2 Problem Formulation
6．3．3 LQG Control Under Date-Rate Constraints
6．3．4 Numerical Example
References
……
内容简介:
　　基于物联网的网络化控制技术正在逐渐形成，并受到关注，网络化控制技术主要应用于大城市交通系统的实时指挥和控制，航空工业中的飞机导航自动化控制，石油化工和冶金等连续流程工业的生产控制和调整，战术导弹的数字化制导控制，网络赋能弹药控制等。不同于以往的研究成果，《离散系统网络化控制理论：传输速率定理》针对网络通信信道传输速率受限的情况，研究了线性离散系统的网络化控制问题，在多种情况下证明了确保系统可镇定的传输速率下界，给出了控制性能与传输速率之间固有的平衡关系，提出了新的量化、编码和控制策略，实现了控制与通信一体化设计。
作者简介:
　　刘庆泉，男，沈阳理工大学副教授，研究生导师。1998年本科毕业于南京理工大学，随后在东北大学分别获得通信与信息系统专业硕士学位和控制理论与控制工程专业博士学位，并在中国科学院沈阳自动化研究所博士后流动站完成博士后研究工作，获“中国博士后科学基金资助项目”（一等资助）。本科毕业后在沈阳理工大学从事教学工作，现为该校装备工程学院信息对抗技术专业教研室主任。主讲课程有：电子对抗技术、探测与识别技术、高频电子线路、信息论、DSP技术与应用等。主要的研究方向为：网络化控制系统、人驾驶飞行器控制系统等。目前已发表SCI/EI检索学术论文60多篇，出版学术专著2部。主持和参与多项省部级纵向、横向科研项目。曾获得4项辽宁省自然科学学术成果奖。
目录:
1 Networked Control Schemes on The Basis of Information Theory
1.1 Stabilization of Stochastic Linear Systems With Data-Rate Constraints
1．1．1 Introduction
1．1．2 Problem Formulation
1．1．3 Lower Bound of Data Rates for Stabilization
1.2 Observer-Based Dynamic Feedback Control Under Communication    Constraints
1．2．1 Introduction
1．2．2 Problem Statement and Preliminaries
1．2．3 Quantized Feedback Control Under Data-Rate Limitation
1．2．4 Numerical Example
1.3 A Quantization and Coding Scheme Under Information-rate Limitation
1．3．1 Introduction
1．3．2 Problem Formulation
1．3．3 Lower Bounds of Information Rate for Stabilization
1．3．4 Simulations
References

2 Quantization， Coding， and Control Schemes Under Data   Rate Limitations
2.1 Quantized State Feedback Control Without Disturbances
2．1．1 Introduction
2．1．2 Problem Formulation
2．1．3 The Bit-Allocation Algorithm
2．1．4 Numerical Example
2.2 Bit-Allocation Schemes for Systems with Disturbances
2．2．1 Introduction
2．2．2 Problem Formulation
2．2．3 Bit-Allocation Schemes
2．2．4 Numerical Example
2.3 Dynamic Quantization Schemes for Output Feedback Control
2．3．1 Introduction
2．3．2 Problem Formulation
2．3．3 Output Feedback Control
2．3．4 Numerical Example
2.4 Feedback Control With Measurement Quantization and Control   Signal Quantization
2．4．1 Introduction
2．4．2 Problem Formulation
2．4．3 Control Under Communication Constraints
2．4．4 Numerical Example
References

3 Robust Control of Parameter Uncertain Systems Under Data-Rate  Constraints
3.1 Quantization and Coding Schemes for Robust Control
3．1．1 Introduction
3．1．2 Problem Formulation
3．1．3 Robust Control Under Date-Rate Constraints
3．1．4 Numerical Example
3.2 A Time-Varying Recursive Allocation (TVRA) Algorithm for   Robust Control
3．2．1 Introduction
3．2．2 Problem Formulation
3．2．3 Time-Varying Recursive Allocation (TVRA) Algorithm
3．2．4 Numerical Example
References

4 Stabilization of Linear Time-Invariant Systems Over Packet Dropout  Communication Channels
4.1 Quantized State Feedback Control
4．1．1 Introduction
4．1．2 Problem Formulation
4．1．3 Quantization， Coding， and Control Schemes
4．1．4 Numerical Example
4.2 Quantized Feedback Control For MIMO Systems
4．2．1 Introduction
4．2．2 Problem Formulation
4．2．3 Quantization and Control Schemes
4．2．4 Numerical Example
References

5 Stabilization of Networked Control Systems with Data-Rate   Limitations and Time Delays
5.1 Stabilization of Systems without Disturbances
5．1．1 Introduction
5．1．2 Problem Formulation
5．1．3 Networked Control with Time Delays
5．1．4 Numerical Example
5.2 Stabilization of Systems with Disturbances
5．2．1 Introduction
5．2．2 Problem Formulation
5．2．3 Networked Control Under Communication Constraints
5．2．4 Numerical Example
5.3 Networked Control over Noisy Channel with Time Delays 151
5．3．1 Introduction 151
5．3．2 Problem Formulation 152
5．3．3 Networked Control Under Communication Constraints 153
5．3．4 Numerical Example 157
5.4 Stabilization of MIMO Control Systems
5．4．1 Introduction
5．4．2 Problem Formulation
5．4．3 Networked Control Under Data-Rate Limitations
5．4．4 Numerical Example
References

6 LQG Control of Linear Systems Under Data-Rate Constraints
6.1 Quantized State Feedback Control
6．1．1 Introduction
6．1．2 Problem Formulation
6．1．3 LQG Control Under Data-Rate Constraints
6．1．4 Numerical Example
6.2 LQ Control of Networked Control Systems With Limited Data Rates
6．2．1 Introduction
6．2．2 Problem Formulation
6．2．3 LQ Control Under Data-Rate Constraints
6．2．4 Numerical Example
6.3 Input and Output Quantized Control of LQG Systems under Information Limitation
6．3．1 Introduction
6．3．2 Problem Formulation
6．3．3 LQG Control Under Date-Rate Constraints
6．3．4 Numerical Example
References
……

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离散系统网络化控制理论：传输速率定理

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