Distributed diagnosis of discrete-event systems under dynamic event observations

被引：1

作者：

Li, Bowen ^{[1
]}

Lu, Jianquan ^{[2
,5
]}

Liu, Rongjian ^{[3
]}

Wang, Yaqi ^{[4
]}

机构：

[1] Nanjing Univ Posts & Telecommun, Sch Comp Sci, Nanjing 210023, Peoples R China

[2] Southeast Univ, Sch Math, Dept Syst Sci, Nanjing 210096, Peoples R China

[3] Chongqing Normal Univ, Natl Ctr Appl Math Chongqing, Chongqing 401331, Peoples R China

[4] Qufu Normal Univ, Sch Engn, Rizhao 276826, Peoples R China

[5] Zhejiang Normal Univ, Sch Math Sci, Jinhua 321004, Peoples R China

来源：

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2023年 / 360卷 / 15期

基金：

中国国家自然科学基金;

关键词：

SENSOR ACTIVATION; FAILURE DIAGNOSIS; DIAGNOSABILITY; COMMUNICATION; DETECTABILITY;

D O I：

10.1016/j.jfranklin.2023.08.019

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In general, observable events are always assumed to be observed when studying the distributed diagnosis of discrete-event systems (DESs). However, this assumption may not be established in several DESs. In this paper, we address the problem of distributed fault diagnosis under dynamic event observations (DEOs) where some occurrences of observable events can not be captured, depending on the traces executed by systems. Then, the notion of distributed fault diagnosis under DEOs is formalized by introducing the notion of joint diagnosability with respect to DEOs (w.r.t. DEOs). For each local diagnoser, one algorithm for constructing communication models under DEOs is proposed. Finally, by constructing extended models above, an algorithm for testing joint diagnosability w.r.t. DEOs is presented. (c) 2023 The Franklin Institute. Published by Elsevier Inc. All rights reserved.

引用

页码：11075 / 11093

页数：19

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