Frequency Domain System Identification with Instrumental Variable Based Subspace Algorithm
1999 (English)Report (Other academic)
In this paper we discuss how the time domain subspace based identification algorithms can be modified in order to be applicable when the primary measurements are given as samples of the Fourier transform of the input and output signals or alternatively samples of the transfer function. An instrumental variable (IV) based subspace algorithm is presented. We show that this method is consistent if acertain rank constraint is satisfied and the frequency domain noise is zero mean with bounded covariances. An example is presented which illuminates the theoretical discussion.
Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 1999. , 9 p.
LiTH-ISY-R, ISSN 1400-3902 ; 2135
System identification, State-space models, Subspace methods, Numerical methods, Stochastic analysis, Frequency domain, Approximation
IdentifiersURN: urn:nbn:se:liu:diva-55718ISRN: LiTH-ISY-R-2135OAI: oai:DiVA.org:liu-55718DiVA: diva2:316477
FunderSwedish Research Council