• DocumentCode
    2402883
  • Title

    Explicit parameter identification for a class of nonlinear input/output differential operator models

  • Author

    Pearson, A.E.

  • Author_Institution
    Div. of Eng., Brown Univ., Providence, RI, USA
  • fYear
    1992
  • fDate
    1992
  • Firstpage
    3656
  • Abstract
    The system parameter identification problem for a class of nonlinear input-output differential operator models is formulated in terms of an explicitly defined least squares cost function. Central to the formulation is a discrete-frequency format brought about by the introduction of a set of explicitly defined Fourier-based modulating functions within the framework of the classical Shinbrot method of moment functionals. The underlying calculations needed to set up the least squares problem differ according to whether the differential operator model is of the exact or inexact category. Examples are presented of each such category
  • Keywords
    least squares approximations; nonlinear systems; parameter estimation; Fourier-based modulating functions; classical Shinbrot method; discrete-frequency format; explicit parameter identification; least squares cost function; least squares problem; moment functionals; nonlinear input/output differential operator models; Cost function; Differential equations; Filtering; Filters; Least squares approximation; Least squares methods; Moment methods; Nonlinear equations; Parameter estimation; Stochastic processes;
  • 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.1992.370969
  • Filename
    370969