• DocumentCode
    3406395
  • Title

    Generalized semi-Markov process: a view through supervisory control

  • Author

    Lin, Feng ; Yao, David D.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA
  • fYear
    1989
  • fDate
    13-15 Dec 1989
  • Firstpage
    1075
  • Abstract
    The generalized semi-Markov process (GSMP) is a useful model for discrete-event stochastic systems. The theory of GSMPs, however, does not provide a mechanism for specifying the active event list, which is dynamically changing as the system evolves. It is shown that this issue can be formally addressed using the theory of supervisory control, and the advantages of studying the GSMP from such a viewpoint are discussed
  • Keywords
    Markov processes; discrete systems; stochastic systems; discrete-event stochastic systems; generalized semi-Markov process; supervisory control; Clocks; Current measurement; History; Q measurement; State-space methods; Stochastic systems; Supervisory control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1989., Proceedings of the 28th IEEE Conference on
  • Conference_Location
    Tampa, FL
  • Type

    conf

  • DOI
    10.1109/CDC.1989.70297
  • Filename
    70297
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3406395