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离散时间模糊Markov跳变系统基于区间观测器的故障检测

王淑佳 朱淑倩

聊城大学学报(自然科学版)2026,Vol.39Issue(2):159-170,12.
聊城大学学报(自然科学版)2026,Vol.39Issue(2):159-170,12.DOI:10.19728/j.issn1672-6634.2025030015

离散时间模糊Markov跳变系统基于区间观测器的故障检测

Fault detection based on interval observers for discrete-time fuzzy Markov jump systems

王淑佳 1朱淑倩1

作者信息

  • 1. 山东大学 数学学院,山东 济南 250100
  • 折叠

摘要

Abstract

For a class of discrete-time fuzzy Markov jump systems with actuator faults,the problem of fault detection in finite frequency domain is investigated based on the interval observer approach.The mode-dependent fuzzy interval observer is proposed by utilizing the boundary information of both system state and persistent external disturbances,and the upper-bound and lower-bound estimation error augmen-ted system model is constructed with generated dynamic residual intervals,then the lf performance and H-performance indexes are further introduced to evaluate the robustness of the residual intervals to the disturbances and the sensitivity to the faults,respectively.In order to overcome the difficulty of designing the performance index in the finite frequency domain due to the mode transfer probability,the Markovian state mathematical expectation is introduced to transform the error system into a deterministic fuzzy sys-tem,and the mode-dependent fuzzy Lyapunov function method is applied to establish the analysis results of lf performance and H-performance of the error system,respectively,then the design and optimization algorithms of the interval observer are proposed to realize the fault detection in finite frequency domain by linear matrix inequalities.The effectiveness and superiority of the proposed algorithms in fault detection efficiency are verified by numerical simulation.

关键词

模糊Markov跳变系统/模糊区间观测器/故障检测/有限频域

Key words

fuzzy Markov jump system/fuzzy interval observer/fault detection/finite frequency domain

分类

信息技术与安全科学

引用本文复制引用

王淑佳,朱淑倩..离散时间模糊Markov跳变系统基于区间观测器的故障检测[J].聊城大学学报(自然科学版),2026,39(2):159-170,12.

基金项目

国家自然科学基金项目(62373220,61773238) (62373220,61773238)

山东省自然科学基金项目(ZR2023MF011)资助 (ZR2023MF011)

聊城大学学报(自然科学版)

1672-6634

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