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 language | English |
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Title of host publication | Proceedings of the IFAC 19th Triennial World Congress, 24-29 August 2014, Cape Town, South Africa |
Publisher | Elsevier |
Pages | 10018-10023 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 2014 |
Event | 19th World Congress of the International Federation of Automatic Control (IFAC 2014 World Congress) - Cape Town International Convention Centre, Cape Town, South Africa Duration: 24 Aug 2014 → 29 Aug 2014 Conference number: 19 http://www.ifac2014.org |
Publication series
Name | IFAC Proceedings Volumes |
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Publisher | Elsevier |
Number | 3 |
Volume | 47 |
ISSN (Electronic) | 1474-6670 |
Conference
Conference | 19th World Congress of the International Federation of Automatic Control (IFAC 2014 World Congress) |
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Abbreviated title | IFAC 2014 |
Country/Territory | South Africa |
City | Cape Town |
Period | 24/08/14 → 29/08/14 |
Internet address |