首页    期刊浏览 2024年12月02日 星期一
登录注册

文章基本信息

  • 标题:Weak Diagnosability of Discrete Event Systems
  • 本地全文:下载
  • 作者:Lin Cao ; Shaolong Shu ; Feng Lin
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:4
  • 页码:338-343
  • DOI:10.1016/j.ifacol.2021.04.034
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, we propose a weaker property for failure diagnosis called weak diagnosability. Weak diagnosability says that, after the occurrence of a fault event, for any continuation, there always exists at least one trajectory of sufficient length along which we can diagnose the occurrence of the fault event. We derive a necessary and sufficient condition for weak diagnosability and develop an algorithm to check the condition. We then extend weak diagnosability to networked discrete event systems which have packet losses and communication delays and call the extension weak network diagnosability. We adopt the transformed automaton technique to deal with packet losses and develop a method for checking weak network diagnosability with respect to packet losses. For communication delays, our results show that they do not change weak network diagnosability when delays are first-in-first-out, but may add time to diagnose the occurrences of fault events.
  • 关键词:KeywordsDiscrete event systemsWeak diagnosabilityPacket lossesCommunication delaysNetworked systems
国家哲学社会科学文献中心版权所有