模糊离散事件系统的弱可诊断性

伦浩怀; 刘富春

doi:10.12052/gdutxb.210200

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模糊离散事件系统的弱可诊断性

综合研究 | 更新时间：2026-05-27

- 模糊离散事件系统的弱可诊断性
- Weak Diagnosability of Fuzzy Discrete Event Systems
- 广东工业大学学报 2023年40卷第4期页码：102-108
- 作者机构：
  
  广东工业大学计算机学院,广东,广州,510006
- 作者简介：
  
  伦浩怀(1995–), 男, 硕士研究生，主要研究方向为控制理论与控制工程、算法分析与设计
  刘富春(1971–)，男，教授，博士生导师, 主要研究方向为控制理论与控制工程、算法分析与设计，E-mail：liufch@gdut.edu.cn
- 基金信息：
  
  国家自然科学基金资助项目(61673122);广东省自然科学基金资助项目(2019A1515010548)
- DOI：10.12052/gdutxb.210200
  中图分类号： TP277
- 纸质出版：2023
- 稿件说明：
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伦浩怀, 刘富春. 模糊离散事件系统的弱可诊断性[J]. 广东工业大学学报, 2023, 40(4): 102-108.

Lun Hao-huai, Liu Fu-chun. Weak Diagnosability of Fuzzy Discrete Event Systems[J]. 2023, 40(4): 102-108.
伦浩怀, 刘富春. 模糊离散事件系统的弱可诊断性[J]. 广东工业大学学报, 2023, 40(4): 102-108. DOI： 10.12052/gdutxb.210200.

Lun Hao-huai, Liu Fu-chun. Weak Diagnosability of Fuzzy Discrete Event Systems[J]. 2023, 40(4): 102-108. DOI： 10.12052/gdutxb.210200.

摘要

针对故障诊断方法对系统要求过高的问题，研究模糊离散事件系统(Fuzzy Discrete Event Systems

FDES)的弱故障诊断，提出一种弱模糊诊断方法，将经典离散事件系统(Discrete Event Systems

DES)的弱故障诊断方法拓广至模糊系统。先对模糊离散事件系统的弱模糊故障可诊断性进行形式化；为验证模糊系统的弱模糊故障可诊断性，构造了一个验证器自动机，得到模糊离散事件系统弱模糊故障可诊断性的充分必要条件，实现了对模糊离散事件系统的弱模糊故障诊断。该方法既适用于模糊离散事件系统的弱模糊故障诊断，又适用于经典离散事件系统的弱故障诊断。

Abstract

Aiming at the problem that the existing fault diagnosis method has too high requirements for systems

the weak diagnosability of fuzzy discrete event system (FDES) is studied

and a weak fuzzy diagnosability method is proposed

which extends the weak diagnosability method of classical discrete event system (DES) to the fuzzy system. Firstly

the notion of weak fuzzy diagnosability of FDES is formalized; In order to verify the weak fuzzy diagnosability of fuzzy systems

a verifier automaton is constructed

and the necessary and sufficient conditions for the weak fuzzy diagnosability of FDES are obtained

in which the weak fuzzy fault diagnosis of fuzzy systems is realized. This method is suitable for weak fault diagnosis of both FDES and classical DES.

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Keywords

references

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