Brief paper: Non-parametric estimate of the system function of a time-varying system

  • Authors:
  • John Lataire;Rik Pintelon;Ebrahim Louarroudi

  • Affiliations:
  • -;-;-

  • Venue:
  • Automatica (Journal of IFAC)
  • Year:
  • 2012

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Abstract

The task of identifying an unknown dynamic system is made easier with prior knowledge on its behaviour. Using a frequency domain approach, the non-parametric maximum likelihood estimator of the system function, associated with the time-dependent impulse response of a time-varying system, is constructed. This is accomplished by the use of a simple linear least squares fitting algorithm, applied to the spectral response of the system to a multisine excitation. The noise variance on the system function is estimated simultaneously, and modelling errors can be detected, as illustrated on a simulation example.