Parameterized model order reduction using extended balanced truncation 2012 (English)In: 2012 IEEE 51st Annual Conference On Decision And Control (CDC), IEEE , 2012, p. 4291-4296Conference 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. p. 4291-4296

Series

IEEE Conference on Decision and Control. Proceedings, ISSN 0191-2216

Keywords [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, id: 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: 2022-06-24Bibliographically approved

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Authority records

Sandberg, Henrik

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