Identification of Wiener models with data pre-filtering

C.T. Chou; M. Verhaegen

doi:10.1109/CDC.1999.832850

Identification of Wiener models with data pre-filtering

C.T. Chou^*, M. Verhaegen

^*Corresponding author for this work

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

Abstract

In this work, an attempt is made to show that pre-filtering can be used together with the correlation approach to identify nonlinear Wiener models provided that the input is Gaussian distributed. An application of this result is to identify Wiener models whose outputs are corrupted by integrated white noise by using high-pass filters as prefilters.

Original language	English
Title of host publication	Proceedings of the 38th IEEE Conference on Decision and Control (CDC 1999)
Place of Publication	Los Alamitos, CA
Publisher	IEEE
Pages	604-605
Number of pages	2
Volume	1
ISBN (Print)	0-7803-5250-5
DOIs	https://doi.org/10.1109/CDC.1999.832850
Publication status	Published - 1999
Event	38th IEEE Conference on Decision and Control, CDC 1999 - Phoenix, United States Duration: 7 Dec 1999 → 10 Dec 1999 Conference number: 38

Publication series

Name	Proceedings of the IEEE Conference on Decision and Control (CDC)
Publisher	IEEE
Number	38
Volume	1999
ISSN (Print)	0191-2216

Conference

Conference	38th IEEE Conference on Decision and Control, CDC 1999
Abbreviated title	CDC
Country/Territory	United States
City	Phoenix
Period	7/12/99 → 10/12/99

Keywords

n/a OA procedure

Access to Document

10.1109/CDC.1999.832850

Cite this

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title = "Identification of Wiener models with data pre-filtering",

abstract = "In this work, an attempt is made to show that pre-filtering can be used together with the correlation approach to identify nonlinear Wiener models provided that the input is Gaussian distributed. An application of this result is to identify Wiener models whose outputs are corrupted by integrated white noise by using high-pass filters as prefilters.",

keywords = "n/a OA procedure",

author = "C.T. Chou and M. Verhaegen",

year = "1999",

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booktitle = "Proceedings of the 38th IEEE Conference on Decision and Control (CDC 1999)",

address = "United States",

note = "38th IEEE Conference on Decision and Control, CDC 1999, CDC ; Conference date: 07-12-1999 Through 10-12-1999",

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Chou, CT & Verhaegen, M 1999, Identification of Wiener models with data pre-filtering. in Proceedings of the 38th IEEE Conference on Decision and Control (CDC 1999). vol. 1, Proceedings of the IEEE Conference on Decision and Control (CDC), no. 38, vol. 1999, IEEE, Los Alamitos, CA, pp. 604-605, 38th IEEE Conference on Decision and Control, CDC 1999, Phoenix, Arizona, United States, 7/12/99. https://doi.org/10.1109/CDC.1999.832850

Identification of Wiener models with data pre-filtering. / Chou, C.T.; Verhaegen, M.
Proceedings of the 38th IEEE Conference on Decision and Control (CDC 1999). Vol. 1 Los Alamitos, CA: IEEE, 1999. p. 604-605 (Proceedings of the IEEE Conference on Decision and Control (CDC); Vol. 1999, No. 38).

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

TY - GEN

T1 - Identification of Wiener models with data pre-filtering

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AU - Verhaegen, M.

N1 - Conference code: 38

PY - 1999

Y1 - 1999

N2 - In this work, an attempt is made to show that pre-filtering can be used together with the correlation approach to identify nonlinear Wiener models provided that the input is Gaussian distributed. An application of this result is to identify Wiener models whose outputs are corrupted by integrated white noise by using high-pass filters as prefilters.

AB - In this work, an attempt is made to show that pre-filtering can be used together with the correlation approach to identify nonlinear Wiener models provided that the input is Gaussian distributed. An application of this result is to identify Wiener models whose outputs are corrupted by integrated white noise by using high-pass filters as prefilters.

KW - n/a OA procedure

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U2 - 10.1109/CDC.1999.832850

DO - 10.1109/CDC.1999.832850

M3 - Conference contribution

SN - 0-7803-5250-5

VL - 1

T3 - Proceedings of the IEEE Conference on Decision and Control (CDC)

SP - 604

EP - 605

BT - Proceedings of the 38th IEEE Conference on Decision and Control (CDC 1999)

PB - IEEE

CY - Los Alamitos, CA

T2 - 38th IEEE Conference on Decision and Control, CDC 1999

Y2 - 7 December 1999 through 10 December 1999

ER -

Identification of Wiener models with data pre-filtering

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Keywords

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