On structure identification of parallel Wiener-Hammerstein models

Hosam E. Emara-Shabaik; Kamal A.F. Moustafa; Jaleel H.S. Talaq

On structure identification of parallel Wiener-Hammerstein models

Hosam E. Emara-Shabaik, Kamal A.F. Moustafa, Jaleel H.S. Talaq

Research output: Contribution to conference › Paper › peer-review

Abstract

In this paper, models composed of parallel branches of the Wiener-Hammerstein type are studied. Using a zero-mean stationary white Gaussian sequence as input to such models, their structure can be identified by considering the bispectrum of the output sequence. Simulation examples are included to illustrate the results of the paper.

Original language	English
Pages	1705-1709
Number of pages	5
Publication status	Published - Dec 1 1994
Externally published	Yes
Event	Proceedings of the 1994 IEEE Conference on Control Applications. Part 3 (of 3) - Glasgow, UK Duration: Aug 24 1994 → Aug 26 1994

Other

Other	Proceedings of the 1994 IEEE Conference on Control Applications. Part 3 (of 3)
City	Glasgow, UK
Period	8/24/94 → 8/26/94

ASJC Scopus subject areas

Control and Systems Engineering

Cite this

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title = "On structure identification of parallel Wiener-Hammerstein models",

abstract = "In this paper, models composed of parallel branches of the Wiener-Hammerstein type are studied. Using a zero-mean stationary white Gaussian sequence as input to such models, their structure can be identified by considering the bispectrum of the output sequence. Simulation examples are included to illustrate the results of the paper.",

author = "Emara-Shabaik, {Hosam E.} and Moustafa, {Kamal A.F.} and Talaq, {Jaleel H.S.}",

year = "1994",

month = dec,

day = "1",

language = "English",

pages = "1705--1709",

note = "Proceedings of the 1994 IEEE Conference on Control Applications. Part 3 (of 3) ; Conference date: 24-08-1994 Through 26-08-1994",

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AU - Emara-Shabaik, Hosam E.

AU - Moustafa, Kamal A.F.

AU - Talaq, Jaleel H.S.

PY - 1994/12/1

Y1 - 1994/12/1

N2 - In this paper, models composed of parallel branches of the Wiener-Hammerstein type are studied. Using a zero-mean stationary white Gaussian sequence as input to such models, their structure can be identified by considering the bispectrum of the output sequence. Simulation examples are included to illustrate the results of the paper.

AB - In this paper, models composed of parallel branches of the Wiener-Hammerstein type are studied. Using a zero-mean stationary white Gaussian sequence as input to such models, their structure can be identified by considering the bispectrum of the output sequence. Simulation examples are included to illustrate the results of the paper.

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M3 - Paper

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T2 - Proceedings of the 1994 IEEE Conference on Control Applications. Part 3 (of 3)

Y2 - 24 August 1994 through 26 August 1994

ER -

On structure identification of parallel Wiener-Hammerstein models

Abstract

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ASJC Scopus subject areas

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