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Parameterized model order reduction using extended balanced truncation
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-1835-2963
2012 (English)In: 2012 IEEE 51st Annual Conference On Decision And Control (CDC), IEEE , 2012, 4291-4296 p.Conference paper, Published paper (Refereed)
Abstract [en]

We show how extended balanced truncation can be applied to the parameterized model order reduction (PMOR) problem. Two variants are introduced and are shown to improve already available a priori error bounds, as well as actual approximation errors in a numerical experiment.

Place, publisher, year, edition, pages
IEEE , 2012. 4291-4296 p.
Series
IEEE Conference on Decision and Control. Proceedings, ISSN 0191-2216
Keyword [en]
Model/Controller reduction, LMIs, Linear parameter-varying systems
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-111442DOI: 10.1109/CDC.2012.6426884ISI: 000327200404101Scopus ID: 2-s2.0-84874230980ISBN: 978-1-4673-2066-5 (print)OAI: oai:DiVA.org:kth-111442DiVA: diva2:586314
Conference
51st IEEE Conference on Decision and Control, CDC 2012; Maui, HI; United States; 10 December 2012 through 13 December 2012
Funder
Swedish Research Council, 2007-6350Swedish Research Council, 2009-4565Swedish Foundation for Strategic Research , ICT-Psi
Note

QC 20130116

Available from: 2013-01-31 Created: 2013-01-11 Last updated: 2013-12-19Bibliographically approved

Open Access in DiVA

CDC-2012-preprint(117 kB)282 downloads
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File name FULLTEXT01.pdfFile size 117 kBChecksum SHA-512
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Type fulltextMimetype application/pdf

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CiteExportLink to record
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Citation style
  • apa
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Language
  • de-DE
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  • fi-FI
  • nn-NO
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Output format
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