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时延转移概率部分未知的网络控制系统鲁棒H∞故障检测

王燕锋 王培良 蔡志端

控制理论与应用2017,Vol.34Issue(2):273-279,7.
控制理论与应用2017,Vol.34Issue(2):273-279,7.DOI:10.7641/CTA.2017.60378

时延转移概率部分未知的网络控制系统鲁棒H∞故障检测

Robust H-infinity fault detection for networked control systems with partly unknown time-delay transition probabilities

王燕锋 1王培良 1蔡志端1

作者信息

  • 1. 湖州师范学院工学院,浙江湖州313000
  • 折叠

摘要

Abstract

This paper investigates the robust H-infinity fault detection problem for the discrete networked control system with time-delays on condition that the transition probabilities of time-delays are partly unknown.First,the time-delay from sensor to controller and the time-delay from sensor to actuator are both considered which are described by two independent Markov chains of finite dimensions.The networked control system is molded as a control system which contains two Markov chains.Furthermore,the fault detection filter is constructed and the closed-loop system is established by the state augmented method.Next,the conditions which make the closed-loop system stochastically stable and achieve prescribed H-infinity performance are obtained in terms of linear matrix inequalities,and the method of calculating the corresponding controller,fault detection filter gain matrices and the minimum H-infinity attenuation level is given.The relationship between transition probabilities and minimum H-infinity attenuation level is also obtained.Finally,the simulation example shows that the proposed fault detection filter is not only sensitive to fault and but also robust to exogenous disturbance.

关键词

故障检测滤波器/转移概率矩阵/Markov链/鲁棒H∞性能

Key words

fault detection filter/transition probability matrix/Markov chain/robust H-infinity performance

分类

信息技术与安全科学

引用本文复制引用

王燕锋,王培良,蔡志端..时延转移概率部分未知的网络控制系统鲁棒H∞故障检测[J].控制理论与应用,2017,34(2):273-279,7.

基金项目

国家自然科学基金项目(61503136,61573137,61573136,61603133),浙江省自然科学基金项目(LY12F03008),湖州市自然科学基金项目(2014YZ07)资助.Supported by National Natural Science Foundation of China (61503136,61573137,61573136,61603133),Natural Science Foundation of Zhejiang Province (LY12F03008) and Natural Science Foundation of Huzhou (2014YZ07). (61503136,61573137,61573136,61603133)

控制理论与应用

OA北大核心CSCDCSTPCD

1000-8152

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