• DocumentCode
    997819
  • Title

    Detectability of Discrete Event Systems

  • Author

    Shu, Shaolong ; Lin, Feng ; Ying, Hao

  • Author_Institution
    Tongji Univ., Shanghai
  • Volume
    52
  • Issue
    12
  • fYear
    2007
  • Firstpage
    2356
  • Lastpage
    2359
  • Abstract
    In this note, we investigate the detectability problem in discrete event systems. We assume that we do not know initially which state the system is in. The problem is to determine the current and subsequent states of the system based on a sequence of observations. The observation includes partial event observation and/or partial state observation, which leads to four possible cases. We further define four types of detectabilities: strong detectability, (weak) detectability, strong periodic detectability, and (weak) periodic detectability. We derive necessary and sufficient conditions for these detectabilities. These conditions can be checked by constructing an observer, which models the estimation of states under different observations. The theory developed in this note can be used in feedback control and diagnosis. If the system is detectable, then the observer can be used as a diagnoser to diagnose the failure states of the system.
  • Keywords
    discrete event systems; fault diagnosis; feedback; discrete event system detectability problem; failure state diagnosis; feedback control; partial event observation; partial state observation; state estimation; strong periodic detectability; Biomedical equipment; Control systems; Discrete event systems; Event detection; Medical services; Observability; Observers; State estimation; Sufficient conditions; Supervisory control; Detectability; discrete event systems; observability; state estimation;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2007.910713
  • Filename
    4395188