• DocumentCode
    3327511
  • Title

    Qualitative physics versus fuzzy sets theory in modeling and control

  • Author

    Barreto, J. ; De Neyer, M. ; Lefevre, P. ; Gorez, R.

  • Author_Institution
    Lab. of Control Syst., Univ. Catholique de Louvain, Belgium
  • fYear
    1991
  • fDate
    28 Oct-1 Nov 1991
  • Firstpage
    1651
  • Abstract
    The authors present a comparison between two modeling and control techniques of physical systems: qualitative physics based on symbolic manipulation and fuzzy logic. The main features of each approach are considered. The issues addressed are modeling and control using qualitative physics and fuzzy logic, specific domains of application for these approaches, and whether they are complementary. The concepts studied are illustrated with an example of biological control
  • Keywords
    biocontrol; control system analysis; fuzzy logic; fuzzy set theory; modelling; symbol manipulation; biological control; eye-head coordination system; fuzzy logic; fuzzy sets theory; modeling; qualitative physics; symbolic manipulation; systems control; Application software; Biological system modeling; Biology computing; Computer aided instruction; Control system synthesis; Fuzzy logic; Fuzzy sets; Humans; Neurophysiology; Physics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, Control and Instrumentation, 1991. Proceedings. IECON '91., 1991 International Conference on
  • Conference_Location
    Kobe
  • Print_ISBN
    0-87942-688-8
  • Type

    conf

  • DOI
    10.1109/IECON.1991.239092
  • Filename
    239092