• DocumentCode
    2768529
  • Title

    Parameters identification for piecewise linear models with weakly varying noise

  • Author

    Rovatti, R. ; Fantuzzi, C. ; Simani, S. ; Beghelli, S.

  • Author_Institution
    Dipt. di Elettronica, Inf. e Sistemistica, Bologna Univ., Italy
  • Volume
    4
  • fYear
    1998
  • fDate
    16-18 Dec 1998
  • Firstpage
    4488
  • Abstract
    This paper concerns the identification of piecewise linear models from noisy data. The identification procedure is formulated within the Frisch scheme (1934), a technique well established for linear systems
  • Keywords
    noise; parameter estimation; piecewise linear techniques; noisy data; parameters identification; piecewise linear models; weakly varying noise; Additive noise; Continuous time systems; Ear; Linear systems; Parameter estimation; Piecewise linear techniques; Sampling methods; Stochastic resonance; System identification; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-4394-8
  • Type

    conf

  • DOI
    10.1109/CDC.1998.762024
  • Filename
    762024
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2768529