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

QC 20130116

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

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CDC-2012-preprint(117 kB)258 downloads
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Sandberg, Henrik
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ReferencesLink to record
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