• DocumentCode
    2935035
  • Title

    Adaptive fuzzy control systems

  • Author

    Karr, Charles L.

  • Author_Institution
    Eng. Sci. & Mech. Dept., Alabama Univ., Birmingham, AL, USA
  • fYear
    1995
  • fDate
    23-25 May 1995
  • Firstpage
    11
  • Lastpage
    13
  • Abstract
    Computer based process control systems have been used successfully for a number of years. However, these systems are often highly mathematical, are difficult to understand and implement, and are also inflexible. Fuzzy logic was developed in the early to mid 1960s by Lotfi Zadeh as an alternative to these complex traditional computer control schemes. Zadeh saw fuzzy logic as a way to achieve process control by allowing a computer to manipulate abstract concepts in a fashion that is akin to the way humans achieve process control. Fuzzy logic allowed computer programs to be developed that combined the computer´s strength of crunching numbers rapidly with a human´s strength for manipulating abstract linguistic concepts
  • Keywords
    fuzzy control; fuzzy logic; process control; abstract linguistic concepts; adaptive fuzzy control systems; computer based process control systems; crunching numbers; fuzzy logic; Adaptive control; Adaptive systems; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Genetic algorithms; Humans; Process control; Programmable control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Technology Directions to the Year 2000, 1995. Proceedings.
  • Conference_Location
    Adelaide, SA
  • Print_ISBN
    0-8186-7085-1
  • Type

    conf

  • DOI
    10.1109/ETD.1995.403494
  • Filename
    403494