A frequency domain subspace algorithm for mixed causal, anti-causal LTI systems

Rufus Fraanje; Michel Verhaegen; Vincent Verdult; Rik Pintelon

doi:10.1016/S1474-6670(17)34869-3

A frequency domain subspace algorithm for mixed causal, anti-causal LTI systems

Rufus Fraanje
, Michel Verhaegen
, Vincent Verdult
, Rik Pintelon

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

3 Citations (Scopus)

5 Downloads (Pure)

Abstract

The paper extends the subspacc identification method to estimate state-space models from frequency response function (FRF) samples, proposed by McKelvey et al. (1996) for mixed causal/anti-causal systems, and shows that other frequency domain subspace algorithms can be extended similarly. The method is demonstrated by simulation experiments.

Original language	English
Title of host publication	13th IFAC Symposium on System Identification (SYSID 2003), Rotterdam, The Netherlands, 27-29 August, 2003
Pages	893-898
Number of pages	6
DOIs	https://doi.org/10.1016/S1474-6670(17)34869-3
Publication status	Published - 27 Aug 2003
Event	13th IFAC Symposium on System Identification, SYSID 2003 - Rotterdam, Netherlands Duration: 27 Aug 2003 → 29 Aug 2003 Conference number: 13

Publication series

Name	IFAC Proceedings
Publisher	IFAC
Number	16
Volume	36

Conference

Conference	13th IFAC Symposium on System Identification, SYSID 2003
Abbreviated title	SYSID
Country/Territory	Netherlands
City	Rotterdam
Period	27/08/03 → 29/08/03

Keywords

METIS-214368

Access to Document

10.1016/S1474-6670(17)34869-3

Cite this

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title = "A frequency domain subspace algorithm for mixed causal, anti-causal LTI systems",

abstract = "The paper extends the subspacc identification method to estimate state-space models from frequency response function (FRF) samples, proposed by McKelvey et al. (1996) for mixed causal/anti-causal systems, and shows that other frequency domain subspace algorithms can be extended similarly. The method is demonstrated by simulation experiments.",

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author = "Rufus Fraanje and Michel Verhaegen and Vincent Verdult and Rik Pintelon",

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booktitle = "13th IFAC Symposium on System Identification (SYSID 2003), Rotterdam, The Netherlands, 27-29 August, 2003",

note = "13th IFAC Symposium on System Identification, SYSID 2003, SYSID ; Conference date: 27-08-2003 Through 29-08-2003",

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Fraanje, R, Verhaegen, M, Verdult, V & Pintelon, R 2003, A frequency domain subspace algorithm for mixed causal, anti-causal LTI systems. in 13th IFAC Symposium on System Identification (SYSID 2003), Rotterdam, The Netherlands, 27-29 August, 2003. IFAC Proceedings, no. 16, vol. 36, pp. 893-898, 13th IFAC Symposium on System Identification, SYSID 2003, Rotterdam, Netherlands, 27/08/03. https://doi.org/10.1016/S1474-6670(17)34869-3

A frequency domain subspace algorithm for mixed causal, anti-causal LTI systems. / Fraanje, Rufus; Verhaegen, Michel; Verdult, Vincent et al.
13th IFAC Symposium on System Identification (SYSID 2003), Rotterdam, The Netherlands, 27-29 August, 2003. 2003. p. 893-898 (IFAC Proceedings; Vol. 36, No. 16).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

TY - GEN

T1 - A frequency domain subspace algorithm for mixed causal, anti-causal LTI systems

AU - Fraanje, Rufus

AU - Verhaegen, Michel

AU - Verdult, Vincent

AU - Pintelon, Rik

N1 - Conference code: 13

PY - 2003/8/27

Y1 - 2003/8/27

N2 - The paper extends the subspacc identification method to estimate state-space models from frequency response function (FRF) samples, proposed by McKelvey et al. (1996) for mixed causal/anti-causal systems, and shows that other frequency domain subspace algorithms can be extended similarly. The method is demonstrated by simulation experiments.

AB - The paper extends the subspacc identification method to estimate state-space models from frequency response function (FRF) samples, proposed by McKelvey et al. (1996) for mixed causal/anti-causal systems, and shows that other frequency domain subspace algorithms can be extended similarly. The method is demonstrated by simulation experiments.

KW - METIS-214368

U2 - 10.1016/S1474-6670(17)34869-3

DO - 10.1016/S1474-6670(17)34869-3

M3 - Conference contribution

SN - 978-0-08-043709-5

T3 - IFAC Proceedings

SP - 893

EP - 898

BT - 13th IFAC Symposium on System Identification (SYSID 2003), Rotterdam, The Netherlands, 27-29 August, 2003

T2 - 13th IFAC Symposium on System Identification, SYSID 2003

Y2 - 27 August 2003 through 29 August 2003

ER -

A frequency domain subspace algorithm for mixed causal, anti-causal LTI systems

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