An L2 Gap Metric Identification Algorithm

In this paper, an L2-gap metric identification algorithm is proposed. The algorithm uses a set of frequency response samples to come up with rational models so that the L2-gap between the observations and the identified model is minimized. Each iteration of the algorithm involves solving a weighted...

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Main Author: Al-Amer, Samir Hasan (author)
Other Authors: unknown (author)
Format: article
Published: 2020
Online Access:https://eprints.kfupm.edu.sa/id/eprint/1485/1/s10p4.PDF
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author Al-Amer, Samir Hasan
author2 unknown
author2_role author
author_facet Al-Amer, Samir Hasan
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author_role author
dc.creator.none.fl_str_mv Al-Amer, Samir Hasan
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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/1485/1/s10p4.PDF
An L2 Gap Metric Identification Algorithm. IEEETEM2003.
dc.language.none.fl_str_mv en
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/1485/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.title.none.fl_str_mv An L2 Gap Metric Identification Algorithm
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description In this paper, an L2-gap metric identification algorithm is proposed. The algorithm uses a set of frequency response samples to come up with rational models so that the L2-gap between the observations and the identified model is minimized. Each iteration of the algorithm involves solving a weighted least squares approximation problem. Illustrative examples are provided.
eu_rights_str_mv openAccess
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identifier_str_mv An L2 Gap Metric Identification Algorithm. IEEETEM2003.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::1485
publishDate 2020
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spelling An L2 Gap Metric Identification AlgorithmAl-Amer, Samir HasanunknownIn this paper, an L2-gap metric identification algorithm is proposed. The algorithm uses a set of frequency response samples to come up with rational models so that the L2-gap between the observations and the identified model is minimized. Each iteration of the algorithm involves solving a weighted least squares approximation problem. Illustrative examples are provided.ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/1485/1/s10p4.PDF An L2 Gap Metric Identification Algorithm. IEEETEM2003. enhttps://eprints.kfupm.edu.sa/id/eprint/1485/2020info:eu-repo/semantics/openAccessoai::14852019-11-01T13:27:10Z
spellingShingle An L2 Gap Metric Identification Algorithm
Al-Amer, Samir Hasan
status_str publishedVersion
title An L2 Gap Metric Identification Algorithm
title_full An L2 Gap Metric Identification Algorithm
title_fullStr An L2 Gap Metric Identification Algorithm
title_full_unstemmed An L2 Gap Metric Identification Algorithm
title_short An L2 Gap Metric Identification Algorithm
title_sort An L2 Gap Metric Identification Algorithm
url https://eprints.kfupm.edu.sa/id/eprint/1485/1/s10p4.PDF