Identification of errors-in-variables model with observation outliers based on Minimum-Covariance-Determinant

In this paper, we develop a subspace system identification algorithm for the errors-in-variables (EIV) model subject to observation noise with outliers. By using the minimum covariance determinant (MCD), we identify and delete the outliers, and then apply the classical EIV subspace system identifica...

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Main Author: ALMutawa, J. (author)
Other Authors: unknown (author)
Format: article
Published: 2007
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Online Access:https://eprints.kfupm.edu.sa/id/eprint/14012/1/14012_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14012/2/14012_2.doc
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author ALMutawa, J.
author2 unknown
author2_role author
author_facet ALMutawa, J.
unknown
author_role author
dc.creator.none.fl_str_mv ALMutawa, J.
unknown
dc.date.none.fl_str_mv 2007-07
2020
dc.format.none.fl_str_mv application/pdf
application/msword
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14012/1/14012_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14012/2/14012_2.doc
(2007) Identification of errors-in-variables model with observation outliers based on Minimum-Covariance-Determinant. American Control Conference, 2007. ACC '07, 1.
dc.language.none.fl_str_mv en
en
dc.publisher.none.fl_str_mv IEEE
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14012/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Petroleum
dc.title.none.fl_str_mv Identification of errors-in-variables model with observation outliers based on Minimum-Covariance-Determinant
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description In this paper, we develop a subspace system identification algorithm for the errors-in-variables (EIV) model subject to observation noise with outliers. By using the minimum covariance determinant (MCD), we identify and delete the outliers, and then apply the classical EIV subspace system identification algorithms to get state space models. In order to solve the MCD problem for the EIV model we propose a random search algorithm. The proposed algorithm has been applied to a heat exchanger data.
eu_rights_str_mv openAccess
format article
id KFUPM_bfedf2faa64550a3e7d98d3083ad60b9
identifier_str_mv (2007) Identification of errors-in-variables model with observation outliers based on Minimum-Covariance-Determinant. American Control Conference, 2007. ACC '07, 1.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::14012
publishDate 2007
publisher.none.fl_str_mv IEEE
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling Identification of errors-in-variables model with observation outliers based on Minimum-Covariance-DeterminantALMutawa, J.unknownPetroleumIn this paper, we develop a subspace system identification algorithm for the errors-in-variables (EIV) model subject to observation noise with outliers. By using the minimum covariance determinant (MCD), we identify and delete the outliers, and then apply the classical EIV subspace system identification algorithms to get state space models. In order to solve the MCD problem for the EIV model we propose a random search algorithm. The proposed algorithm has been applied to a heat exchanger data.IEEE2007-072020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14012/1/14012_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14012/2/14012_2.doc (2007) Identification of errors-in-variables model with observation outliers based on Minimum-Covariance-Determinant. American Control Conference, 2007. ACC '07, 1. enenhttps://eprints.kfupm.edu.sa/id/eprint/14012/info:eu-repo/semantics/openAccessoai::140122019-11-01T14:03:45Z
spellingShingle Identification of errors-in-variables model with observation outliers based on Minimum-Covariance-Determinant
ALMutawa, J.
Petroleum
status_str publishedVersion
title Identification of errors-in-variables model with observation outliers based on Minimum-Covariance-Determinant
title_full Identification of errors-in-variables model with observation outliers based on Minimum-Covariance-Determinant
title_fullStr Identification of errors-in-variables model with observation outliers based on Minimum-Covariance-Determinant
title_full_unstemmed Identification of errors-in-variables model with observation outliers based on Minimum-Covariance-Determinant
title_short Identification of errors-in-variables model with observation outliers based on Minimum-Covariance-Determinant
title_sort Identification of errors-in-variables model with observation outliers based on Minimum-Covariance-Determinant
topic Petroleum
url https://eprints.kfupm.edu.sa/id/eprint/14012/1/14012_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14012/2/14012_2.doc