量化系统的时间驱动辨识 郭金,刁靖东 著 2025 chm pdf kindle rb azw3 下载 115盘

本书研究事件驱动和量化测量下的系统辨识，属于控制理论、通信科学和计算机科学等多领域的前沿交叉研究。本书共8章。章介绍本书的写作背景和基本情况。第2章对本书用到的基础知识进行介绍。第3章研究基于调度的二值量化测量的系统辨识。第4章在量化输入下研究基于预测量化输出的系统辨识。第5章在Either-or通讯机制下研究量化输入和量化输出下的系统辨识。第6章基于二值量化测量研究一般形式事件驱动器下的系统辨识。第7章研究Wiener系统在二值量化下的事件驱动辨识。第8章讨论Hammerstein系统在量化测量和事件。

1 Introduction

1.1 Motivation

1.2 Event-Triggered Identification with Quantized Observations

1.3 Outline of the Book

2 Preliminaries

2.1 Least Square

2.2 Stochastic Approximation

2.3 Empirical-Measure-Based Identification

2.4 Quantized Input-Output Identification

2.5 Notes

3 FIR System Identification with Scheduled Binary-Valued Observations

3.1 Problem Formulation

3.2 Identification Algorithm

3.3 Convergence Performance

3.3.1 Convergence and Convergence Rate

3.3.2 Asymptotically Efficiency

3.3.3 Communication Rate

3.4 Numerical Simulation

3.5 Notes

4 Event-Triggered Identification of FIR Systems with Binary-Valued Observations

4.1 Problem Formulation

4.2 Identification Algorithm

4.3 Properties of the Identification Algorithm

4.3.1 Strong Convergence

4.3.2 Convergence Rate

4.3.3 Implementation of the Event-Triggered Mechanism

4.3.4 Communication Rate

4.4 Numerical Simulation

4.5 Notes

5 Prediction-Based Identification of Quantized-Input FIR Systems with Quantized Observations

5.1 Problem Formulation

5.2 Identification Algorithm and Convergence Performance

5.3 Tradeoff Between the Estimation Performance and the Communication Cost

5.4 Multi-Threshold Quantized Observations

5.5 Numerical Simulation

5.6 Notes

6 FIR System Identification under Either-or Communication with Quantized Inputs and Quantized Observations

6.1 Problem Formulation

6.2 Either-or Communication Scheme and Identification Algorithm

6.3 Convergence Performance

6.4 Multi-Threshold Quantized Observations

6.5 Numerical Simulation

6.6 Notes

7 Event-Triggered Identification of Wiener Systems with Binary-Valued Observations

7.1 Problem Formulation

7.2 System Identifiability

7.3 Identification Algorithm

7.4 Convergence Properties

7.4.1 Strong Convergence

7.4.2 Asymptotic Efficiency

……

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