扫一扫
关注中图网
官方微博
本类五星书更多>
-
>
湖南省志(1978-2002)?铁路志
-
>
公路车宝典(ZINN的公路车维修与保养秘籍)
-
>
晶体管电路设计(下)
-
>
基于个性化设计策略的智能交通系统关键技术
-
>
德国克虏伯与晚清火:贸易与仿制模式下的技术转移
-
>
花样百出:贵州少数民族图案填色
-
>
识木:全球220种木材图鉴
EVENT-TRIGGERED IDENTIFICATION OF SYSTEMS WITH QUANTIZE 版权信息
- ISBN:9787502479930
- 条形码:9787502479930 ; 978-7-5024-7993-0
- 装帧:一般轻型纸
- 册数:暂无
- 重量:暂无
- 所属分类:>>
EVENT-TRIGGERED IDENTIFICATION OF SYSTEMS WITH QUANTIZE 内容简介
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。第1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驱动下的辨识。
EVENT-TRIGGERED IDENTIFICATION OF SYSTEMS WITH QUANTIZE 目录
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
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
展开全部
EVENT-TRIGGERED IDENTIFICATION OF SYSTEMS WITH QUANTIZE 作者简介
郭金,1984年生,北京科技大学副教授,主要从事控制理论与应用方面的研究,发表SCI期刊论文20余篇,主持国家自然科学基金2项、北京市自然科学基金1项、博士后基金(一等)1项等多项课题。
书友推荐
- >
二体千字文
二体千字文
¥14.0¥40.0 - >
【精装绘本】画给孩子的中国神话
【精装绘本】画给孩子的中国神话
¥17.6¥55.0 - >
名家带你读鲁迅:故事新编
名家带你读鲁迅:故事新编
¥13.0¥26.0 - >
龙榆生:词曲概论/大家小书
龙榆生:词曲概论/大家小书
¥9.9¥24.0 - >
上帝之肋:男人的真实旅程
上帝之肋:男人的真实旅程
¥19.3¥35.0 - >
有舍有得是人生
有舍有得是人生
¥17.4¥45.0 - >
烟与镜
烟与镜
¥15.8¥48.0 - >
中国人在乌苏里边疆区:历史与人类学概述
中国人在乌苏里边疆区:历史与人类学概述
¥26.4¥48.0
本类畅销
-
机构运动微分几何学分析与综合
¥38.8¥88 -
4.23文创礼盒A款--“作家言我精神状态”
¥42.3¥206 -
4.23文创礼盒B款--“作家言我精神状态”
¥42.3¥206 -
一句顶一万句 (印签版)
¥40.4¥68 -
百年书评史散论
¥14.9¥38 -
1980年代:小说六记
¥52.8¥69