• DocumentCode
    2190255
  • Title

    Laguerre-based system identification: an indirect approach

  • Author

    Zhou, Quan-Gen ; Davison, Edward J.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
  • Volume
    3
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    2502
  • Abstract
    In this paper, an indirect approach to Laguerre-based system identification is presented. The approach does not aim at a Laguerre model. It uses Laguerre modeling to arrive at a state variable model based on a realization procedure. The main benefit of this approach is that the model order may dramatically be reduced, compared to Laguerre modeling. Since the approach is built upon the Laguerre model structure for parameter estimation and an SVD-based realization procedure for model construction, it inherits both statistically and numerically favorable properties
  • Keywords
    parameter estimation; singular value decomposition; Laguerre model structure; Laguerre-based system identification; SVD-based realization; indirect approach; parameter estimation; state variable model; Additive noise; Convergence; Educational institutions; Laplace equations; Noise measurement; Parameter estimation; Signal processing; System identification; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-7061-9
  • Type

    conf

  • DOI
    10.1109/.2001.980639
  • Filename
    980639