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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| Format: | article |
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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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| _version_ | 1864513383763542016 |
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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 |