• DocumentCode
    3452246
  • Title

    Intelligent control of a flying vehicle using fuzzy associative memory system

  • Author

    Yamaguchi, Toru ; Goto, K. ; Takagi, T. ; Doya, K. ; Mita, T.

  • Author_Institution
    Lab. for Int. Fuzzy Eng. Res., Yokohama, Japan
  • fYear
    1992
  • fDate
    8-12 Mar 1992
  • Firstpage
    1139
  • Lastpage
    1149
  • Abstract
    The authors propose a flying vehicle intelligent control system which simulates the pilots operation knowledge and training steps. To simulate the operation knowledge and training steps, a fuzzy associative memory system called FAMOUS was used. FAMOUS uses associative memory neural networks which represent fuzzy knowledge. There are two types of operation knowledge; dynamic fuzzy knowledge, for example the circular flight operation pattern; and static fuzzy knowledge, for example the hovering operation model corresponding to each flying condition. FAMOUS represents both dynamic and static fuzzy knowledge using its hierarchical knowledge representation. The implementation of the intelligent control system using FAMOUS and the realization of hovering flight and circular flight are discussed
  • Keywords
    aerospace computer control; content-addressable storage; fuzzy control; knowledge based systems; knowledge representation; memory architecture; neural nets; parallel architectures; FAMOUS; circular flight operation pattern; dynamic fuzzy knowledge; flying vehicle intelligent control system; fuzzy associative memory system; fuzzy knowledge representation; hierarchical knowledge representation; hovering operation model; neural networks; static fuzzy knowledge; Associative memory; Automotive engineering; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Helicopters; Intelligent control; Knowledge representation; Neural networks; Organizing; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1992., IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-7803-0236-2
  • Type

    conf

  • DOI
    10.1109/FUZZY.1992.258718
  • Filename
    258718