Verifying O-observability for Discrete Event Systems under Nondeterministic Observations

Lei Zhou, Shaolong Shu, Hao Fang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In practical systems, due to reasons such as sensor limitations, sensor faults and packet losses in networks, the observations of events become nondeterministic. The supervisory control problem of discrete event systems becomes more complicated. In our previous work, we investigate the supervisory control problem under nondeterministic observations. O-observability is introduced and plays an important role on solving the supervisory control problem. In this paper, we try to find an effective algorithm to check it. By introducing the subset of conflict states, we only need to check the subset of conflict states for every state and each event generated from it. We then construct a transformed automaton which has deterministic observations. Based on the transformed automaton, we find all the invalid strings that violate O-observability. By removing all the invalid strings from the transformed automaton, we obtain an automaton consisting of all valid strings. We show that O-observability holds if and only if the set of all valid strings equals the specification language.

Original languageEnglish
Title of host publication2020 IEEE 16th International Conference on Control and Automation, ICCA 2020
PublisherIEEE Computer Society
Pages564-569
Number of pages6
ISBN (Electronic)9781728190938
DOIs
Publication statusPublished - 9 Oct 2020
Event16th IEEE International Conference on Control and Automation, ICCA 2020 - Virtual, Sapporo, Hokkaido, Japan
Duration: 9 Oct 202011 Oct 2020

Publication series

NameIEEE International Conference on Control and Automation, ICCA
Volume2020-October
ISSN (Print)1948-3449
ISSN (Electronic)1948-3457

Conference

Conference16th IEEE International Conference on Control and Automation, ICCA 2020
Country/TerritoryJapan
CityVirtual, Sapporo, Hokkaido
Period9/10/2011/10/20

Keywords

  • Automaton
  • Discrete Event Systems
  • Nondeterministic Observations
  • Observability
  • Supervisory Control

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