• DocumentCode
    343050
  • Title

    Vibration control using CMAC neural networks with optimized weight smoothing

  • Author

    Kraft, L.G. ; Pallotta, Jeremy

  • Author_Institution
    Dept. of Electr. & Comput. Eng., New Hampshire Univ., Durham, NH, USA
  • Volume
    2
  • fYear
    1999
  • fDate
    2-4 Jun 1999
  • Firstpage
    1181
  • Abstract
    In this paper the CMAC neural network concept is applied to active vibration control. Traditional CMAC and a new CMAC with weight smoothing are compared
  • Keywords
    cerebellar model arithmetic computers; computerised control; neurocontrollers; optimal control; vibration control; CMAC neural networks; active vibration control; optimized weight smoothing; Associative memory; Function approximation; Laplace equations; Neural networks; Process control; Signal processing; Smoothing methods; Table lookup; Training data; Vibration control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1999. Proceedings of the 1999
  • Conference_Location
    San Diego, CA
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-4990-3
  • Type

    conf

  • DOI
    10.1109/ACC.1999.783226
  • Filename
    783226
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=343050