• DocumentCode
    776454
  • Title

    Adaptive control of a simple nonlinear system without a priori information on the plant parameters

  • Author

    Lozano, Rogelio ; Brogliato, Bernard

  • Author_Institution
    Univ. de Technol. de Compiegne, France
  • Volume
    37
  • Issue
    1
  • fYear
    1992
  • fDate
    1/1/1992 12:00:00 AM
  • Firstpage
    30
  • Lastpage
    37
  • Abstract
    The authors present an adaptive control scheme for nonlinear systems of the form x=c*Tf(x)+b*u, where f(x) is Lipschitz, c* is a constant vector, and b* is a constant scalar. The control scheme achieves asymptotical model matching without a priori knowledge of the sign of the b* gain. The adaptive scheme is free from singularities in the sense that the estimate of b*, entering in the denominator of the control law, is bounded away from zero. The singularity has been overcome through a suitable modification of the parameter estimates which is based on standard least squares covariance matrix properties
  • Keywords
    adaptive control; matrix algebra; nonlinear systems; parameter estimation; Lipschitz; adaptive control; asymptotical model matching; least squares covariance matrix; nonlinear system; parameter estimation; Adaptive control; Control systems; Covariance matrix; Frequency; Least squares approximation; Linear systems; Nonlinear control systems; Nonlinear systems; Parameter estimation; Programmable control;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/9.109636
  • Filename
    109636