• DocumentCode
    1647439
  • Title

    Autonomous learning cerebellum model articulation controller

  • Author

    Shaaban, Khaled M. ; Mohamed, Refaat M.

  • Author_Institution
    Dept. of Electr. Eng., Assiut Univ., Egypt
  • Volume
    1
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    681
  • Lastpage
    686
  • Abstract
    Introduces an intelligent controller named autonomous learning cerebellum model articulation controller (ALCMAC). This controller has the ability to learn its control function incrementally and autonomously from direct interaction with the environment. It combines two features, first there is no need for the system mathematical modeling and second it learns its control function autonomously from direct interaction with the environment. To illustrate its capabilities, it is used to control a two-joint robot arm to track a preplanned trajectory
  • Keywords
    cerebellar model arithmetic computers; intelligent control; learning systems; neurocontrollers; position control; robots; autonomous learning cerebellum model articulation controller; control function; intelligent controller; preplanned trajectory tracking; two-joint robot arm; Adaptive control; Brain modeling; Control systems; Mathematical model; Neural networks; Process control; Robot control; Table lookup; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-7278-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.2002.1005555
  • Filename
    1005555