• DocumentCode
    1328181
  • Title

    Frequency domain system identification with missing data

  • Author

    Pintelon, R. ; Schoukens, J.

  • Author_Institution
    Dept. of Electr. Eng., Vrije Univ., Brussels, Belgium
  • Volume
    45
  • Issue
    2
  • fYear
    2000
  • fDate
    2/1/2000 12:00:00 AM
  • Firstpage
    364
  • Lastpage
    369
  • Abstract
    This paper presents a frequency domain solution to the system identification problem with missing data in the input and output signals. No particular pattern for the missing data is assumed. The approach does not require a (parametric) model for the input signal, works for any model structure (ARX, ARMAX, OE, errors-in-variables, etc.) can be applied to discrete time as well as continuous time models. The key idea is to treat the missing data as unknown parameters
  • Keywords
    continuous time systems; discrete time systems; frequency-domain analysis; identification; continuous time systems; discrete time systems; frequency domain analysis; missing data; model structure; system identification; Continuous time systems; Data communication; Frequency domain analysis; Laboratories; Maximum likelihood estimation; Signal processing; System identification; Time measurement; Time series analysis; Transfer functions;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/9.839967
  • Filename
    839967