• DocumentCode
    3601352
  • Title

    Bifuzzy Discrete Event Systems and Their Supervisory Control Theory

  • Author

    Weilin Deng ; Daowen Qiu

  • Author_Institution
    Dept. of Comput. Sci., Sun Yat-Sen Univ., Guangzhou, China
  • Volume
    23
  • Issue
    6
  • fYear
    2015
  • Firstpage
    2107
  • Lastpage
    2121
  • Abstract
    It is well known that type-1 fuzzy sets (T1 FSs) have limited capabilities to handle some data uncertainties directly, and type-2 fuzzy sets (T2 FSs) can cover the shortcoming of T1 FSs to a certain extent. Fuzzy discrete event systems (FDESs) were proposed based on T1 FSs theory. Hence, FDES may not be a satisfactory model to characterize some high-uncertainty systems. In this paper, we propose a new model, called as bifuzzy discrete event systems (BFDESs), by combining classical DESs theory and T2 FSs theory. Then, we consider the supervisory control problem of BFDESs. The bifuzzy controllability theorem and nonblocking bifuzzy controllability theorem are demonstrated. In addition, an algorithm for checking the bifuzzy controllability condition is presented. In addition, two controllable approximations to an uncontrollable language are investigated in detail. An illustrative example is provided to show the applicability and the advantages of the BFDES model.
  • Keywords
    controllability; discrete event systems; fuzzy control; fuzzy set theory; uncertain systems; BFDES model; T1 FS theory; T2 FS theory; bifuzzy controllability condition; bifuzzy discrete event systems; controllable approximations; data uncertainties; high-uncertainty systems; nonblocking bifuzzy controllability theorem; supervisory control theory; type-1 fuzzy sets; uncontrollable language; Automata; Controllability; Discrete-event systems; Frequency selective surfaces; Medical services; Supervisory control; Uncertainty; Bifuzzy discrete event systems (BFDESs); bi-fuzzy discrete event systems (BFDESs); bi-fuzzy finite automata.; bifuzzy finite automata; controllability; supervisory control; supervisory control, controllability; type-2 fuzzy sets (T2 FSs);
  • fLanguage
    English
  • Journal_Title
    Fuzzy Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6706
  • Type

    jour

  • DOI
    10.1109/TFUZZ.2015.2403866
  • Filename
    7042334