• DocumentCode
    2409037
  • Title

    Model reference adaptive control with unknown high-frequency gain

  • Author

    Lozano, Rogelio ; Moctezuma, Rubén G.

  • Author_Institution
    Univ. Technol. Compiegne, Heudiasyc, France
  • fYear
    1992
  • fDate
    1992
  • Firstpage
    2756
  • Abstract
    An indirect model reference adaptive control for minimum-phase linear systems of arbitrary order with unknown high-frequency gain is presented. It is proved that the (modified) estimate of the high-frequency gain has a uniform positive lower bound. The problem has been solved by using the least squares covariance matrix properties to define an appropriate modification of the parameter estimates. The proposed algorithm requires neither signal normalization nor the definition of an augmented error
  • Keywords
    least squares approximations; linear systems; matrix algebra; model reference adaptive control systems; parameter estimation; indirect model reference adaptive control; least squares covariance matrix properties; minimum-phase linear systems; parameter estimates; uniform positive lower bound; unknown high-frequency gain; Adaptive control; Convergence; Covariance matrix; Discrete time systems; Frequency estimation; Hysteresis; Least squares approximation; Linear systems; Parameter estimation; Programmable control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
  • Conference_Location
    Tucson, AZ
  • Print_ISBN
    0-7803-0872-7
  • Type

    conf

  • DOI
    10.1109/CDC.1992.371315
  • Filename
    371315