• DocumentCode
    2198020
  • Title

    Iterative learning control for robot manipulators using the finite dimensional input subspace

  • Author

    Hamamoto, Kiichi ; Sugie, Toshiharu

  • Author_Institution
    Adv. Technol. Dept., Kajima Tech. Res. Inst., Tokyo, Japan
  • Volume
    5
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    4926
  • Abstract
    Proposes a new type of iterative learning control algorithm for manipulators, which seeks the desired input in an appropriate finite dimensional input subspace. The convergence condition of the learning law is derived, and several advantages of the proposed method are pointed out. The effectiveness of the proposed method is demonstrated by experiments
  • Keywords
    closed loop systems; convergence; learning systems; manipulator dynamics; position control; convergence condition; finite dimensional input subspace; iterative learning control; robot manipulators; Appropriate technology; Control systems; Convergence; Informatics; Iterative algorithms; Iterative methods; Low pass filters; Manipulators; Robot control; Robot kinematics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-7061-9
  • Type

    conf

  • DOI
    10.1109/.2001.980989
  • Filename
    980989