• DocumentCode
    3443319
  • Title

    Recursive continuous-time subspace identification using Laguerre filters

  • Author

    Bergamasco, Marco ; Lovera, Marco ; Ohta, Yoshito

  • Author_Institution
    Dipt. di Elettron. e Inf., Politec. di Milano, Vinci, Italy
  • fYear
    2011
  • fDate
    12-15 Dec. 2011
  • Firstpage
    6469
  • Lastpage
    6474
  • Abstract
    This paper deals with the problem of model identification in continuous-time using subspace techniques. More precisely, a recently presented continuous-time predictor-based subspace identification algorithm which relies on a system transformation using the Laguerre basis is considered and a recursive counterpart is developed.
  • Keywords
    continuous time systems; filtering theory; identification; stochastic processes; Laguerre filters; continuous-time predictor-based subspace identification algorithm; model identification; recursive continuous-time subspace identification; Eigenvalues and eigenfunctions; Estimation; Least squares approximation; Prediction algorithms; Signal to noise ratio; Technological innovation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-61284-800-6
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2011.6161311
  • Filename
    6161311