Model reduction by iterative error system approximation

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dc.citation.firstpage103
dc.citation.issueNumber2
dc.citation.journalTitleMathematical and Computer Modelling of Dynamical Systems
dc.citation.lastpage118
dc.citation.volumeNumber24
dc.contributor.authorAntoulas, A.C.
dc.contributor.authorBenner, Peter
dc.contributor.authorFeng, Lihong
dc.date.accessioned2018-07-11T15:59:28Z
dc.date.available2018-07-11T15:59:28Z
dc.date.issued2018
dc.description.abstractThe analysis of a posteriori error estimates used in reduced basis methods leads to a model reduction scheme for linear time-invariant systems involving the iterative approximation of the associated error systems. The scheme can be used to improve reduced-order models (ROMs) with initial poor approximation quality at a computational cost proportional to that for computing the original ROM. We also show that the iterative approximation scheme is applicable to parametric systems and demonstrate its performance using illustrative examples.
dc.identifier.citationAntoulas, A.C., Benner, Peter and Feng, Lihong. "Model reduction by iterative error system approximation." <i>Mathematical and Computer Modelling of Dynamical Systems,</i> 24, no. 2 (2018) Taylor & Francis: 103-118. https://doi.org/10.1080/13873954.2018.1427116.
dc.identifier.doihttps://doi.org/10.1080/13873954.2018.1427116
dc.identifier.urihttps://hdl.handle.net/1911/102377
dc.language.isoeng
dc.publisherTaylor & Francis
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.keywordmodel order reduction
dc.subject.keywordsuccessive refinement
dc.subject.keyworderror system
dc.subject.keywordweighted model reduction
dc.titleModel reduction by iterative error system approximation
dc.typeJournal article
dc.type.dcmiText
dc.type.publicationpublisher version
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