• DocumentCode
    1691295
  • Title

    An approach for modeling and control of a discrete event system

  • Author

    Ghabri, M.-K. ; Ladet, P.

  • Author_Institution
    Lab. d´´Autom. de Grenoble, CNRS, St. Martin d´´Heres, France
  • Volume
    3
  • fYear
    1994
  • Firstpage
    2648
  • Abstract
    In recent years fuzzy sets theory has been widely used in the control of many complex industrial continuous processes. However, there are few researches that have tried to use this theory in the domain of discrete event systems (DESs). In this paper, an approach for modeling and control of a high-speed discrete event system is proposed. This approach consists in the association of a fuzzy controller and a unified formalism based on hybrid Petri nets. The controller consists of a set of local fuzzy controllers which can be linked to a supervisor. Each local fuzzy controller is used to control a specific component of the system. These components are generally multi-inputs single-output processes. The Petri nets model is used to simulate the system and the interactions existing between the system and the controller
  • Keywords
    Petri nets; discrete event systems; fuzzy control; fuzzy logic; fuzzy set theory; inference mechanisms; intelligent control; modelling; discrete event system; fuzzy controller; fuzzy reasoning; fuzzy sets theory; hybrid Petri nets; modeling; multi-input single-output processes; supervisory control; unified formalism; Control system synthesis; Control systems; Discrete event systems; Electrical equipment industry; Fuzzy control; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Industrial control; Petri nets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
  • Conference_Location
    Lake Buena Vista, FL
  • Print_ISBN
    0-7803-1968-0
  • Type

    conf

  • DOI
    10.1109/CDC.1994.411547
  • Filename
    411547