System Development & Application
|
223-228

Research on diagnosability of discrete event systems based on nondeterministic observations

Tan Jianxin1,2
Liu Fuchun1
1. School of Computer Science & Technology, Guangdong University of Technology, Guangzhou 510006, China
2. Network Information & Educational Technology Center, Guangdong University of Finance & Economics, Guangzhou 510300, China

Abstract

In practical systems, due to reasons such as sensor faults, sensor limitations and packet losses in networks, the observation of events becomes nondeterministic, and makes observing system behavior particularly complex. Aiming at the problem that the same event string might have multiple observations in discrete event systems and the same event observations might be different in different states, this paper proposed a method for fault diagnosis and verification under nondeterministic observations. Firstly, it formalized the diagnosability of discrete event systems under nondeterministic observations. Secondly, it constructed a verifier for the above fault diagnosis verification. Based on the verifier, it proposed a necessary and sufficient conditions and the verification algorithm for the system to be diagnosable under nondeterministic observations. Finally, an example illustrates the application of the fault diagnosis verification algorithm under nondeterministic observations. Compared with the existing research, the observation value of the fault event is not constrained in this proposed method, and it can be zero or more observations, which makes the application of this method more extensive.

Foundation Support

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)
广东工业大学交叉学科培育项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.06.0261
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 1
Section: System Development & Application
Pages: 223-228
Serial Number: 1001-3695(2023)01-036-0223-06

Publish History

[2022-08-11] Accepted Paper
[2023-01-05] Printed Article

Cite This Article

谭健欣, 刘富春. 基于不确定观测下离散事件系统可诊断性的研究 [J]. 计算机应用研究, 2023, 40 (1): 223-228. (Tan Jianxin, Liu Fuchun. Research on diagnosability of discrete event systems based on nondeterministic observations [J]. Application Research of Computers, 2023, 40 (1): 223-228. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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