• DocumentCode
    1889223
  • Title

    Experiments and comparative analyses in adaptive fuzzy control

  • Author

    Ordones, R. ; Spooner, Jeffrey T. ; Passino, Kevin M.

  • Author_Institution
    Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
  • fYear
    1996
  • fDate
    15-18 Sep 1996
  • Firstpage
    31
  • Lastpage
    36
  • Abstract
    Advances in nonlinear control theory have provided the mathematical foundations necessary to establish conditions for stability of several types of adaptive fuzzy controllers. However, very few, if any, of these techniques have been compared to conventional adaptive or nonadaptive nonlinear controllers or tested beyond simulation; therefore, many of them remain as purely theoretical developments whose practical value is difficult to ascertain. In this paper we will develop a case study where we perform a comparative analysis between adaptive fuzzy techniques and some conventional linear nonlinear control techniques. In each case, the analysis will be performed both in simulation and in implementation, in order to show practical examples of how the performance of these controllers compares to conventional controllers in real systems
  • Keywords
    adaptive control; fuzzy control; nonlinear control systems; stability criteria; adaptive fuzzy control; nonlinear control theory; stability; Adaptive control; Analytical models; Automatic control; Control system synthesis; Control theory; Fuzzy control; Performance analysis; Programmable control; Stability; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control, 1996., Proceedings of the 1996 IEEE International Symposium on
  • Conference_Location
    Dearborn, MI
  • ISSN
    2158-9860
  • Print_ISBN
    0-7803-2978-3
  • Type

    conf

  • DOI
    10.1109/ISIC.1996.556173
  • Filename
    556173