Noise-Robust Parameter Estimation Of Linear Systems

The parameter estimation problem of linear systems from input output measurements, corrupted with nonwhite noise of unknown covariance, is considered. Under this realistic situation, the least squares parameters estimation is nown to be biased. In this paper, a recursive parameters stimation algorit...

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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/2534/1/8.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/2534/1/8.pdf
Noise-Robust Parameter Estimation Of Linear Systems. JOURNAL OF VIBRATION AND CONTROL, 6. pp. 27-40.
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/2534/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Systems
dc.title.none.fl_str_mv Noise-Robust Parameter Estimation Of Linear Systems
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description The parameter estimation problem of linear systems from input output measurements, corrupted with nonwhite noise of unknown covariance, is considered. Under this realistic situation, the least squares parameters estimation is nown to be biased. In this paper, a recursive parameters stimation algorithm, which is unbiased for a wide class of measurement noise, is developed. Monte Carlo simulation results show the effectiveness of the developed parameters' estimator and its superiority over the least squares-based estimator.
eu_rights_str_mv openAccess
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identifier_str_mv Noise-Robust Parameter Estimation Of Linear Systems. JOURNAL OF VIBRATION AND CONTROL, 6. pp. 27-40.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::2534
publishDate 2020
publisher.none.fl_str_mv SAGE PUBLICATIONS INC
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spelling Noise-Robust Parameter Estimation Of Linear SystemsEmara-Shabaik, HusamunknownSystemsThe parameter estimation problem of linear systems from input output measurements, corrupted with nonwhite noise of unknown covariance, is considered. Under this realistic situation, the least squares parameters estimation is nown to be biased. In this paper, a recursive parameters stimation algorithm, which is unbiased for a wide class of measurement noise, is developed. Monte Carlo simulation results show the effectiveness of the developed parameters' estimator and its superiority over the least squares-based estimator.SAGE PUBLICATIONS INCArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/2534/1/8.pdf Noise-Robust Parameter Estimation Of Linear Systems. JOURNAL OF VIBRATION AND CONTROL, 6. pp. 27-40. enhttps://eprints.kfupm.edu.sa/id/eprint/2534/2020info:eu-repo/semantics/openAccessoai::25342019-11-01T13:44:40Z
spellingShingle Noise-Robust Parameter Estimation Of Linear Systems
Emara-Shabaik, Husam
Systems
status_str publishedVersion
title Noise-Robust Parameter Estimation Of Linear Systems
title_full Noise-Robust Parameter Estimation Of Linear Systems
title_fullStr Noise-Robust Parameter Estimation Of Linear Systems
title_full_unstemmed Noise-Robust Parameter Estimation Of Linear Systems
title_short Noise-Robust Parameter Estimation Of Linear Systems
title_sort Noise-Robust Parameter Estimation Of Linear Systems
topic Systems
url https://eprints.kfupm.edu.sa/id/eprint/2534/1/8.pdf