• DocumentCode
    1713122
  • Title

    Adaptive inverse control based on linear and nonlinear adaptive filtering

  • Author

    Widrow, Bernard ; Plett, Gregory L.

  • Author_Institution
    Dept. of Electr. Eng., Stanford Univ., CA, USA
  • fYear
    1996
  • Firstpage
    30
  • Lastpage
    38
  • Abstract
    At present, the control of a dynamic system (the “plant”) is generally done by means of feedback. This paper proposes an alternative approach that uses adaptive filtering to achieve feedforward control for both linear and nonlinear plants. Precision is attained because of the feedback incorporated in the adaptive filtering. Disturbance in the plant can be optimally controlled by a special circuit that obtains the disturbance at the plant output, filters it, and feeds it back into the plant input. The circuit works in such a way that the feedback does not alter the plant dynamic response. The concept of adaptive inverse control has application to both linear and nonlinear, MIMO and SISO plants
  • Keywords
    adaptive control; adaptive filters; feedback; feedforward; filtering theory; inverse problems; nonlinear filters; optimal control; MIMO plants; SISO plants; adaptive inverse control; dynamic system control; feedback; feedforward control; linear adaptive filtering; nonlinear adaptive filtering; Adaptive control; Adaptive filters; Control systems; Finite impulse response filter; IIR filters; Linear feedback control systems; Nonlinear control systems; Optimal control; Programmable control; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks for Identification, Control, Robotics, and Signal/Image Processing, 1996. Proceedings., International Workshop on
  • Conference_Location
    Venice
  • Print_ISBN
    0-8186-7456-3
  • Type

    conf

  • DOI
    10.1109/NICRSP.1996.542742
  • Filename
    542742