• DocumentCode
    2157785
  • Title

    Decentralized supervisory control of fuzzy discrete event systems

  • Author

    Fuchun Liu ; Daowen Qiu

  • Author_Institution
    Dept. of Comput. Sci., Zhongshan Univ., Guangzhou, China
  • fYear
    2007
  • fDate
    2-5 July 2007
  • Firstpage
    4984
  • Lastpage
    4991
  • Abstract
    Fuzzy discrete event systems (FDESs), proposed recently by Lin Feng and Ying Hao, are possible to effectively cope with some problems having fuzziness, impreciseness, and subjectivity. Qiu, and Cao and Ying independently developed supervisory control theory of FDESs. We note that the controllability of events in Qiu´s work is fuzzy but the observability of events is crisp, and, both the observability and the controllability of events in Cao and Ying´s work are crisp. In this work, both the observability and the controllability of events are considered to be fuzzy. We set up the decentralized supervisory control theorem of FDESs in the more generic framework. In particular, based on Qiu´s work, we present a detailed computing approach to verify whether the controllability and co-observability conditions hold, and this method can decide the existence of the decentralized supervisors. As well, this computing method can be applied to check the existence of the decentralized supervisors in classical discrete event systems.
  • Keywords
    controllability; decentralised control; discrete event systems; fuzzy systems; FDES; computing method; controllability; coobservability conditions; decentralized supervisory control theorem; decentralized supervisory control theory; fuzzy discrete event systems; generic framework; Automata; Controllability; Decentralized control; Discrete-event systems; Observability; Supervisory control; Testing; Discrete event systems; co-observability; fuzzy finite automata; observability; supervisory control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2007 European
  • Conference_Location
    Kos
  • Print_ISBN
    978-3-9524173-8-6
  • Type

    conf

  • Filename
    7068434