Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements

A model is proposed to identify the parameters of a class of stochastic nonlinearsystems. The model structure is made up of two linear dynamic elements separated by a nonlinear static one. The nonlinear element is assumed to be of the polynomial type with known order; The identification is based on...

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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/2531/1/5.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/2531/1/5.pdf
Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements. JOURNAL OF VIBRATION AND CONTROL;, 6. pp. 49-60.
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv SAGE PUBLICATIONS INC
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/2531/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Systems
dc.title.none.fl_str_mv Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description A model is proposed to identify the parameters of a class of stochastic nonlinearsystems. The model structure is made up of two linear dynamic elements separated by a nonlinear static one. The nonlinear element is assumed to be of the polynomial type with known order; The identification is based on input/output data where the output is contaminated with measurement noise. The convergence analysis of the proposed recursive identification algorithm utilizes stochastic Lyapunov functions. Sufficient conditions for the almost sure convergence of the estimated parameters to the true ones are obtained.
eu_rights_str_mv openAccess
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identifier_str_mv Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements. JOURNAL OF VIBRATION AND CONTROL;, 6. pp. 49-60.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::2531
publishDate 2020
publisher.none.fl_str_mv SAGE PUBLICATIONS INC
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spelling Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy MeasurementsEmara-Shabaik, HusamunknownSystemsA model is proposed to identify the parameters of a class of stochastic nonlinearsystems. The model structure is made up of two linear dynamic elements separated by a nonlinear static one. The nonlinear element is assumed to be of the polynomial type with known order; The identification is based on input/output data where the output is contaminated with measurement noise. The convergence analysis of the proposed recursive identification algorithm utilizes stochastic Lyapunov functions. Sufficient conditions for the almost sure convergence of the estimated parameters to the true ones are obtained.SAGE PUBLICATIONS INCArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/2531/1/5.pdf Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements. JOURNAL OF VIBRATION AND CONTROL;, 6. pp. 49-60. enhttps://eprints.kfupm.edu.sa/id/eprint/2531/2020info:eu-repo/semantics/openAccessoai::25312019-11-01T13:44:39Z
spellingShingle Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements
Emara-Shabaik, Husam
Systems
status_str publishedVersion
title Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements
title_full Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements
title_fullStr Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements
title_full_unstemmed Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements
title_short Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements
title_sort Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements
topic Systems
url https://eprints.kfupm.edu.sa/id/eprint/2531/1/5.pdf