• DocumentCode
    1613343
  • Title

    Research on Fuzzy Control System

  • Author

    Xiaoliang, Zhu ; Wei, Zhang

  • Author_Institution
    Comput. Center, Hebei United Univ., Tangshan, China
  • fYear
    2012
  • Firstpage
    972
  • Lastpage
    975
  • Abstract
    Fuzzy control is a high-level control decision based on language rule transformed from the expert\´s experience and knowledge. The fuzzy set theory and related branches are widely applied in the models of optimal control, decision-making under uncertainty, processing vague econometric or demographic data, behavioral studies, and methods of artificial intelligence. For example, there already exists a functional model of a helicopter controlled from the ground by simple "fuzzy" commands in natural language, like "up", "slowly down", "turn moderately left", "high speed", etc. "Fuzzy" wash-machines, cameras or shavers are common commercial products. Fuzzy sets also can be applied in sociology, political science, and anthropology, as well as in any field of enquiring and dealing with complex patterns.
  • Keywords
    control system synthesis; decision making; fuzzy control; fuzzy set theory; fuzzy systems; anthropology; fuzzy control system design; fuzzy set theory; high-level control decision; language rule; political science; sociology; Algorithm design and analysis; Control systems; Educational institutions; Fuzzy control; Fuzzy sets; Presses; Process control; fuzzy control system; fuzzy controller; fuzzy relation; fuzzy set; membership function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4673-1450-3
  • Type

    conf

  • DOI
    10.1109/ICICEE.2012.258
  • Filename
    6322547