-Non-Parametric Identification Of Generalized Hammerstein Models

The Hammerstein model is considered in a generalized form, where its nonlinearelement can have multi-inputs and a finite memory. The identification of the multiinput finite memory nonlinearity and the impulse response sequence of the model is treated using a non-parametric approach. A numerical exam...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي: Emara-Shabaik, Husam (author)
مؤلفون آخرون: unknown (author)
التنسيق: article
منشور في: 2020
الموضوعات:
الوصول للمادة أونلاين:https://eprints.kfupm.edu.sa/id/eprint/2533/1/7.pdf
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author Emara-Shabaik, Husam
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author2_role author
author_facet Emara-Shabaik, Husam
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author_role author
dc.creator.none.fl_str_mv Emara-Shabaik, Husam
unknown
dc.date.*.fl_str_mv 2020
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/2533/1/7.pdf
-Non-Parametric Identification Of Generalized Hammerstein Models. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 29. pp. 91-93.
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv TAYLOR FRANCIS LTD
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/2533/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Systems
dc.title.none.fl_str_mv -Non-Parametric Identification Of Generalized Hammerstein Models
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description The Hammerstein model is considered in a generalized form, where its nonlinearelement can have multi-inputs and a finite memory. The identification of the multiinput finite memory nonlinearity and the impulse response sequence of the model is treated using a non-parametric approach. A numerical example is given. The identification results of the example illustrate the effectiveness of the developed technique.
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identifier_str_mv -Non-Parametric Identification Of Generalized Hammerstein Models. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 29. pp. 91-93.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::2533
publishDate 2020
publisher.none.fl_str_mv TAYLOR FRANCIS LTD
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spelling -Non-Parametric Identification Of Generalized Hammerstein ModelsEmara-Shabaik, HusamunknownSystemsThe Hammerstein model is considered in a generalized form, where its nonlinearelement can have multi-inputs and a finite memory. The identification of the multiinput finite memory nonlinearity and the impulse response sequence of the model is treated using a non-parametric approach. A numerical example is given. The identification results of the example illustrate the effectiveness of the developed technique.TAYLOR FRANCIS LTDArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/2533/1/7.pdf -Non-Parametric Identification Of Generalized Hammerstein Models. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 29. pp. 91-93. enhttps://eprints.kfupm.edu.sa/id/eprint/2533/2020info:eu-repo/semantics/openAccessoai::25332019-11-01T13:44:40Z
spellingShingle -Non-Parametric Identification Of Generalized Hammerstein Models
Emara-Shabaik, Husam
Systems
status_str publishedVersion
title -Non-Parametric Identification Of Generalized Hammerstein Models
title_full -Non-Parametric Identification Of Generalized Hammerstein Models
title_fullStr -Non-Parametric Identification Of Generalized Hammerstein Models
title_full_unstemmed -Non-Parametric Identification Of Generalized Hammerstein Models
title_short -Non-Parametric Identification Of Generalized Hammerstein Models
title_sort -Non-Parametric Identification Of Generalized Hammerstein Models
topic Systems
url https://eprints.kfupm.edu.sa/id/eprint/2533/1/7.pdf