• DocumentCode
    3478275
  • Title

    A comparison of an expert and an adaptive fuzzy control approach

  • Author

    Jamshidi, M. ; Baugh, S. ; Barak, D. ; Vadiee, N.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
  • fYear
    1991
  • fDate
    11-13 Dec 1991
  • Firstpage
    1907
  • Abstract
    A comparative study of a classical expert system and an adaptive fuzzy expert control system for an inverted pendulum is presented. Specifically, three controllers are compared: constant gain, expert controller, and an adaptive fuzzy expert controller. The comparative study was done by means of computer simulation through the Matlab and Togai InfraLogic´s Fuzzy-C software programs. It is seen that the fuzzy expert controller provides much better performance than the regular expert system
  • Keywords
    adaptive control; control system analysis computing; expert systems; fuzzy control; Matlab; Togai InfraLogic´s Fuzzy-C software programs; adaptive fuzzy expert control system; classical expert system; constant gain; inverted pendulum; Adaptive control; Adaptive systems; Artificial intelligence; Computer simulation; Control systems; Expert systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Programmable control; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1991., Proceedings of the 30th IEEE Conference on
  • Conference_Location
    Brighton
  • Print_ISBN
    0-7803-0450-0
  • Type

    conf

  • DOI
    10.1109/CDC.1991.261747
  • Filename
    261747