• DocumentCode
    2036620
  • Title

    Fuzzy logic controller design: target tracking system and automobile control system

  • Author

    Chaudhuri, S.P. ; Chen, Ying

  • Author_Institution
    Sensor Data Integration Inc., Concord, MA, USA
  • fYear
    1994
  • fDate
    10-12 May 1994
  • Firstpage
    383
  • Lastpage
    392
  • Abstract
    This paper presents the theory of design of a fuzzy controller by using fuzzy reasoning. The controller is composed of a set of linguistic control rules which are conditional linguistic statements describing the algorithm for the process control as a fuzzy relation between information about the condition of the process to be controlled, and the input for the process. The fuzzy control theory has been used to design a controller for tracking a single target and for controlling the speed of an automobile. Some simulation results of these two controllers are presented in this paper
  • Keywords
    automobiles; computational linguistics; fuzzy control; target tracking; velocity control; automobile control system; conditional linguistic statements; fuzzy logic controller design; fuzzy reasoning; linguistic control rules; process control; target tracking system; Automobiles; Control systems; Fuzzy control; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Humans; Nonlinear control systems; Process control; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electro/94 International. Conference Proceedings. Combined Volumes.
  • Conference_Location
    Boston, MA
  • Print_ISBN
    0-7803-2630-X
  • Type

    conf

  • DOI
    10.1109/ELECTR.1994.472685
  • Filename
    472685