• DocumentCode
    3376191
  • Title

    Fuzzy control is often better than manual control of the very experts whose knowledge it uses: an explanation

  • Author

    Kreinovich, V. ; Lea, R. ; Fuentes, O. ; Lokshin, A.

  • Author_Institution
    Dept. of Comput. Sci., Texas Univ., El Paso, TX, USA
  • fYear
    1992
  • fDate
    10-13 Nov 1992
  • Firstpage
    180
  • Lastpage
    185
  • Abstract
    A mathematical explanation as to why fuzzy control is smoother and more stable than control by experts whose experience was used to design the fuzzy control is presented. The analysis indicates that fuzzy control is always continuous and exhibits better performance, even in complicated control situations
  • Keywords
    fuzzy control; stability; control smoothness; manual control; mathematical explanation; stability; Application software; Computer science; Computer simulation; Fuzzy control; Fuzzy set theory; Human factors; NASA; Space missions; Testing; Velocity control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 1992. TAI '92, Proceedings., Fourth International Conference on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    0-8186-2905-3
  • Type

    conf

  • DOI
    10.1109/TAI.1992.246357
  • Filename
    246357