• DocumentCode
    2536024
  • Title

    Real-time vibration control using CMAC neural networks with weight smoothing

  • Author

    Kraft, L.G. ; Pallotta, Jeremy

  • Author_Institution
    Dept. of Electr. & Comput. Eng., New Hampshire Univ., Durham, NH, USA
  • Volume
    6
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    3939
  • Abstract
    The CMAC neural network concept is applied to real-time active vibration control at audio rates. A new weight smoothing CMAC is used in the control loop to cancel a disturbance input
  • Keywords
    CAMAC; active noise control; closed loop systems; learning (artificial intelligence); neurocontrollers; real-time systems; CMAC neural networks; active vibration control; audio rates; closed loop systems; learning; real-time systems; weight smoothing; Equations; Function approximation; Neural networks; Open loop systems; Process control; Signal processing; Smoothing methods; State-space methods; Training data; Vibration control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2000. Proceedings of the 2000
  • Conference_Location
    Chicago, IL
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-5519-9
  • Type

    conf

  • DOI
    10.1109/ACC.2000.876961
  • Filename
    876961
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2536024