基于自适应事件触发的跳变系统故障检测滤波

张志涵; 朱凤增; 彭力

doi:10.12263/DZXB.20210373

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基于自适应事件触发的跳变系统故障检测滤波

学术论文 | 更新时间：2025-12-08

- 基于自适应事件触发的跳变系统故障检测滤波
- Adaptive Event-Triggered Fault Detection Filter for Jump Systems
- 电子学报 2023年51卷第2期页码：499-507
- 作者机构：
  
  1.江南大学物联网应用技术教育部工程中心，江苏无锡 214122
  2.无锡太湖学院江苏省物联网应用技术重点建设实验室，江苏无锡 214064
- 作者简介：
  
  [ "张志涵女，1995年生，山东菏泽人.硕士研究生.主要研究方向为故障检测、容错控制." ]
  [ "朱凤增男，1992年生，山东临沂人.博士研究生.主要研究方向为网络化动态系统状态估计、故障诊断、容错控制." ]
  [ "彭力（通讯作者）男，1967年生，河北唐山人.教授，博士生导师.主要研究方向为复杂系统控制与优化、视觉物联网." ]
- 基金信息：
  
  国家重点研发计划(2018YFD0400902);国家自然科学基金(61873112)
- DOI：10.12263/DZXB.20210373
  中图分类号： TP273;
- 收稿：2021-03-18，
  
  修回：2021-09-15，
  
  纸质出版：2023-02-25
- 稿件说明：
移动端阅览
张志涵,朱凤增,彭力.基于自适应事件触发的跳变系统故障检测滤波[J].电子学报,2023,51(02):499-507.

ZHANG Zhi-han,ZHU Feng-zeng,PENG Li.Adaptive Event-Triggered Fault Detection Filter for Jump Systems[J].ACTA ELECTRONICA SINICA,2023,51(02):499-507.
张志涵,朱凤增,彭力.基于自适应事件触发的跳变系统故障检测滤波[J].电子学报,2023,51(02):499-507. DOI： 10.12263/DZXB.20210373.

ZHANG Zhi-han,ZHU Feng-zeng,PENG Li.Adaptive Event-Triggered Fault Detection Filter for Jump Systems[J].ACTA ELECTRONICA SINICA,2023,51(02):499-507. DOI： 10.12263/DZXB.20210373.

摘要

本文讨论了一类基于自适应事件触发机制的离散马尔科夫跳变系统在网络传输下的故障检测滤波器设计问题.对系统测量输出设计自适应事件触发机制，可以减少计算负载或节省有限的网络带宽.使用Bernoulli随机变量来描述网络是否能够成功地接收系统跳变模态，且基于Lyapunov稳定性理论设计了一种部分模态依赖的故障检测滤波器，使残差误差系统均方指数稳定且满足

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3.80999994

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性能指标，并通过求解线性矩阵不等式得到故障检测滤波器参数，通过仿真例子说明该设计方法的有效性.

Abstract

This paper deals with the problem of fault detection filter (FDF) for a class of discrete Markovian jump systems with adaptive event-triggered mechanism under network transmission. First

an adaptive event-triggered mechanism is designed for the systematic measurement output

which can reduce the computation load or save limited network bandwidth. Then

Bernoulli stochastic variables are used to describe whether the network can successfully receive the system jump modes. Next

based on the Lyapunov stability theory

a fault detection filter with partially mode-dependent is designed to make the residual error system exponentially mean-square stable and satisfy

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performance. The parameters of fault detection filter are available by solving the linear matrix inequality (LMI). Finally

a numerical example is given to illustrate the effectiveness of the proposed method.

关键词

Keywords

references

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