• DocumentCode
    3483295
  • Title

    Fuzzy modelling of first order systems

  • Author

    Cheng, R.M.H. ; Yu, Weichun

  • Author_Institution
    Centre for Ind. Control, Concordia Univ., Montreal, Que., Canada
  • Volume
    2
  • fYear
    1995
  • fDate
    5-8 Sep 1995
  • Firstpage
    613
  • Abstract
    First order dynamic systems are modelled in this paper through the fuzzy logic approach. Two types of model structures are considered, One takes a general form which is applicable to a large class of first order systems. The other is a specific structure which is properly based on a priori knowledge of the system under consideration. In the latter case, the fuzzy model of the whole system becomes a combination of two fuzzy sub-models, each in a space of reduced dimensions. Simulation results exhibit the capability of fuzzy models to accommodate nonlinearities in dynamical systems
  • Keywords
    fuzzy logic; modelling; dynamical system nonlinearities; first-order dynamic systems; fuzzy logic approach; fuzzy modelling; reduced dimension space; Buildings; Differential equations; Fuzzy logic; Fuzzy sets; Fuzzy systems; Industrial control; Input variables; Mechanical engineering; Parameter estimation; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 1995. Canadian Conference on
  • Conference_Location
    Montreal, Que.
  • ISSN
    0840-7789
  • Print_ISBN
    0-7803-2766-7
  • Type

    conf

  • DOI
    10.1109/CCECE.1995.526279
  • Filename
    526279