• DocumentCode
    2097932
  • Title

    L1 prediction error approach in system identification

  • Author

    Carmona, J.C. ; Alvarado, V.M.

  • Author_Institution
    LSIS, CNRS, Marseille, France
  • Volume
    4
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    3219
  • Abstract
    In this paper we present our recent work on model estimation and model validation. Some interesting asymptotic properties of L1 estimated models are settled. As a consequence, a final predictive error criterion in L1-norm is derived. Experimental results on a propagative phenomenon are presented and discussed showing the interest of L1 identification approach.
  • Keywords
    error analysis; identification; minimisation; state estimation; minimisation; model estimation; model validation; predictive error; robust control; state estimation; system identification; Context modeling; Gaussian distribution; Laplace equations; Large scale integration; Mathematical model; Predictive models; Robustness; Statistical analysis; System identification; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2002. Proceedings of the 2002
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-7298-0
  • Type

    conf

  • DOI
    10.1109/ACC.2002.1025286
  • Filename
    1025286
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2097932