• DocumentCode
    3394184
  • Title

    Evolutionary control method and swing up and stabilization control of inverted pendulum

  • Author

    Yasunobu, Seini ; Yamasaki, Hiroaki

  • Author_Institution
    Inst. of Eng. Mech. & Syst., Tsukuba Univ., Japan
  • Volume
    4
  • fYear
    2001
  • fDate
    25-28 July 2001
  • Firstpage
    2078
  • Abstract
    The control of a nonlinear system where the characteristics are changing is difficult. In order to control the system, a study is needed to model during the execution and control. In this paper, a new evolutionary control method is proposed that combines the evolutionary modeling by on-line GA and predictive fuzzy control. This control method is applied to the control of inverted pendulum where characteristics are modified actively to the external factor. The effectiveness of this control method has been confirmed
  • Keywords
    fuzzy control; genetic algorithms; nonlinear control systems; predictive control; stability; evolutionary control method; evolutionary modeling; inverted pendulum; nonlinear system; online genetic algorithm; predictive fuzzy control; stabilization control; swing up; Control system synthesis; Control systems; Fuzzy control; Fuzzy sets; Fuzzy systems; Humans; Nonlinear control systems; Nonlinear systems; Predictive models; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-7078-3
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2001.944390
  • Filename
    944390