出版社:电子工业出版社
年代:2014
定价:42.0
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,本书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。
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
……
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。
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出版地 | 北京 | 出版单位 | 电子工业出版社 |
版次 | 1版 | 印次 | 1 |
定价(元) | 42.0 | 语种 | 英文 |
尺寸 | 24 × 17 | 装帧 | 平装 |
页数 | 印数 |
离散系统网络化控制理论是电子工业出版社于2015.1出版的中图分类号为 TP271 的主题关于 离散系统-网络化-自动控制理论-英文 的书籍。