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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| مؤلفون آخرون: | |
| التنسيق: | article |
| منشور في: |
2020
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://eprints.kfupm.edu.sa/id/eprint/2531/1/5.pdf |
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| _version_ | 1864513382455967744 |
|---|---|
| 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 |
| format | article |
| id | KFUPM_365d926f6406892c09fcb144befcd063 |
| 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 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| 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 |