STRUCTURE IDENTIFICATION CRITERIA OF NONLINEAR-SYSTEMS VIA BISPECTRUM

Models, which are composed of cascades of linear dynamic and static nonlinear blocks, are considered. These models, known in the literature as generalized Wiener-Hammerstein models, are extensively used to represent nonlinear dynamic systems,The bispectrum characteristics of the output sequence are...

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محفوظ في:
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/2540/1/14.pdf
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author Emara-Shabaik, Husam
author2 unknown
author2_role author
author_facet Emara-Shabaik, Husam
unknown
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/2540/1/14.pdf
STRUCTURE IDENTIFICATION CRITERIA OF NONLINEAR-SYSTEMS VIA BISPECTRUM. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 20. pp. 535-546.
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv ARABIAN JOURNAL FOR SCIENCE ENGINEERING
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/2540/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Systems
dc.title.none.fl_str_mv STRUCTURE IDENTIFICATION CRITERIA OF NONLINEAR-SYSTEMS VIA BISPECTRUM
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description Models, which are composed of cascades of linear dynamic and static nonlinear blocks, are considered. These models, known in the literature as generalized Wiener-Hammerstein models, are extensively used to represent nonlinear dynamic systems,The bispectrum characteristics of the output sequence are investigated, and useful results are obtained which facilitate the structure identification of the underlying nonlinear system. Numerical examples are simulated by using noisy output measurements to illustrate the results
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identifier_str_mv STRUCTURE IDENTIFICATION CRITERIA OF NONLINEAR-SYSTEMS VIA BISPECTRUM. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 20. pp. 535-546.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::2540
publishDate 2020
publisher.none.fl_str_mv ARABIAN JOURNAL FOR SCIENCE ENGINEERING
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spelling STRUCTURE IDENTIFICATION CRITERIA OF NONLINEAR-SYSTEMS VIA BISPECTRUMEmara-Shabaik, HusamunknownSystemsModels, which are composed of cascades of linear dynamic and static nonlinear blocks, are considered. These models, known in the literature as generalized Wiener-Hammerstein models, are extensively used to represent nonlinear dynamic systems,The bispectrum characteristics of the output sequence are investigated, and useful results are obtained which facilitate the structure identification of the underlying nonlinear system. Numerical examples are simulated by using noisy output measurements to illustrate the resultsARABIAN JOURNAL FOR SCIENCE ENGINEERINGArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/2540/1/14.pdf STRUCTURE IDENTIFICATION CRITERIA OF NONLINEAR-SYSTEMS VIA BISPECTRUM. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 20. pp. 535-546. enhttps://eprints.kfupm.edu.sa/id/eprint/2540/2020info:eu-repo/semantics/openAccessoai::25402019-11-01T13:44:43Z
spellingShingle STRUCTURE IDENTIFICATION CRITERIA OF NONLINEAR-SYSTEMS VIA BISPECTRUM
Emara-Shabaik, Husam
Systems
status_str publishedVersion
title STRUCTURE IDENTIFICATION CRITERIA OF NONLINEAR-SYSTEMS VIA BISPECTRUM
title_full STRUCTURE IDENTIFICATION CRITERIA OF NONLINEAR-SYSTEMS VIA BISPECTRUM
title_fullStr STRUCTURE IDENTIFICATION CRITERIA OF NONLINEAR-SYSTEMS VIA BISPECTRUM
title_full_unstemmed STRUCTURE IDENTIFICATION CRITERIA OF NONLINEAR-SYSTEMS VIA BISPECTRUM
title_short STRUCTURE IDENTIFICATION CRITERIA OF NONLINEAR-SYSTEMS VIA BISPECTRUM
title_sort STRUCTURE IDENTIFICATION CRITERIA OF NONLINEAR-SYSTEMS VIA BISPECTRUM
topic Systems
url https://eprints.kfupm.edu.sa/id/eprint/2540/1/14.pdf