• DocumentCode
    1656201
  • Title

    Fuzzy and neural network controller

  • Author

    Dote, Yasuhik

  • Author_Institution
    Muroran Inst. of Technol., Japan
  • fYear
    1990
  • Firstpage
    1314
  • Abstract
    There are many applications of fuzzy control to practical systems such as electric appliances and factory automation in Japan. On the other hand, applications of neural networks to military and industrial fields attract a lot of researchers in the United States. It is suggested that the two approaches be combined and applied to control problems. The use of both methods is recommended for the construction of intelligent controllers (for example, autonomous or self-organizing controllers). Intelligent controllers are summarized. Fuzzy control is illustrated in a tutorial fashion by a simple example. The design and practical aspects of fuzzy control are examined. Neural networks applied to control problems are discussed. By combining the two methodologies, self-organizing controller can be constructed
  • Keywords
    artificial intelligence; control system synthesis; fuzzy logic; neural nets; autonomous controllers; factory automation; fuzzy control; intelligent controllers; military automation; neural network controller; self-organizing controllers; Automatic control; Control systems; Expert systems; Fuzzy control; Fuzzy neural networks; Fuzzy reasoning; Fuzzy systems; Intelligent actuators; Intelligent sensors; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 1990. IECON '90., 16th Annual Conference of IEEE
  • Conference_Location
    Pacific Grove, CA
  • Print_ISBN
    0-87942-600-4
  • Type

    conf

  • DOI
    10.1109/IECON.1990.149328
  • Filename
    149328