• DocumentCode
    2766711
  • Title

    Frequency domain identification of linear systems using arbitrary excitations and a nonparametric noise model

  • Author

    Schoukens, J. ; Vandersteen, G. ; Pintelon, R. ; Guillaume, P.

  • Author_Institution
    Vrije Univ., Brussels, Belgium
  • Volume
    4
  • fYear
    1998
  • fDate
    16-18 Dec 1998
  • Firstpage
    3909
  • Abstract
    This paper presents a generalized frequency domain identification method to identify SISO systems combining two previously published extensions in one method: arbitrary but persistent excitations are allowed and a nonparametric noise model is extracted from the same data that are used to identify the system. The method is directly applicable to identification in feedback if an external persistently exciting reference signal is available
  • Keywords
    feedback; frequency-domain analysis; identification; linear systems; noise; arbitrary excitations; external persistently exciting reference signal; feedback; frequency domain identification; linear systems; nonparametric noise model; Control systems; Covariance matrix; Data mining; Discrete Fourier transforms; Feedback loop; Frequency domain analysis; Instruments; Linear systems; Open loop systems; Predictive models;
  • 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.1998.761840
  • Filename
    761840
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2766711