• DocumentCode
    325182
  • Title

    Dynamic fuzzy control and system stability for the Acrobot

  • Author

    Smith, Michael H. ; Zhang, Tiehua ; Gruver, William A.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
  • Volume
    1
  • fYear
    1998
  • fDate
    4-9 May 1998
  • Firstpage
    286
  • Abstract
    This paper discusses the swing-up control of a two link robot mechanism known as the Acrobot. Previously, a technique using meta-rules was proposed to compensate for external disturbances when using a dynamic fuzzy controller. In this paper, stability of the meta-rule system is analyzed from a global asymptotic stability viewpoint based on fuzzy characteristic matrices. These matrices are generated from the first phase of a three phase learning process involving the combination of genetic algorithms, dynamic switching fuzzy systems, and meta-rule techniques with the purpose of developing a better performing fuzzy controller
  • Keywords
    asymptotic stability; fuzzy control; genetic algorithms; intelligent control; learning systems; robot dynamics; Acrobot; asymptotic stability; dynamic switching fuzzy systems; fuzzy characteristic matrices; fuzzy control; genetic algorithms; learning process; meta-rules; swing-up control; two link robot; Automatic control; Control systems; Fuzzy control; Fuzzy reasoning; Fuzzy systems; Genetic algorithms; Leg; PD control; Robot kinematics; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1098-7584
  • Print_ISBN
    0-7803-4863-X
  • Type

    conf

  • DOI
    10.1109/FUZZY.1998.687499
  • Filename
    687499