On numerically reliable frequency-domain system identification: new connections and a comparison of methods

R.J. Voorhoeve, T.A.E. Oomen, R.M.A. van Herpen, M. Steinbuch

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)
1 Downloads (Pure)

Abstract

Frequency domain identification of complex systems imposes important challenges with respect to numerically reliable algorithms. This is evidenced by the use of different rational and data-dependent basis functions in the literature. The aim of this paper is to compare these different methods and to establish new connections. This leads to two new identification algorithms. The conditioning and convergence properties of the considered methods are investigated on simulated and experimental data. The results reveal interesting convergence differences between (nonlinear) least squares and instrumental variable methods. In addition, the results shed light on the conditioning associated with so-called frequency localising basis functions, vector fitting algorithms, and (bi)-orthonormal basis functions.
Original languageEnglish
Title of host publicationProceedings of the IFAC 19th Triennial World Congress, 24-29 August 2014, Cape Town, South Africa
PublisherElsevier
Pages10018-10023
Number of pages6
DOIs
Publication statusPublished - 2014
Event19th IFAC World Congress on International Federation of Automatic Control ( IFAC 2014) - Cape Town International Convention Centre, Cape Town, South Africa
Duration: 24 Aug 201429 Aug 2014
Conference number: 19
http://www.ifac2014.org

Publication series

NameIFAC Proceedings Volumes
PublisherElsevier
Number3
Volume47
ISSN (Electronic)1474-6670

Conference

Conference19th IFAC World Congress on International Federation of Automatic Control ( IFAC 2014)
Abbreviated titleIFAC 2014
CountrySouth Africa
CityCape Town
Period24/08/1429/08/14
Internet address

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