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SiMpLIfy: A toolbox for structured model reduction
KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
2015 (English)In: 2015 European Control Conference, ECC 2015, Institute of Electrical and Electronics Engineers (IEEE), 2015, 1159-1164 p.Conference paper, Published paper (Refereed)
Resource type
Text
Abstract [en]

In this paper, we present a toolbox for structured model reduction developed for MATLAB. In addition to structured model reduction methods using balanced realizations of the subsystems, we introduce a numerical algorithm for structured model reduction using a subgradient optimization algorithm. We briefly present the syntax for the toolbox and its features. Finally, we demonstrate the applicability of various model reduction methods in the toolbox on a structured mass-spring mechanical system.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2015. 1159-1164 p.
Keyword [en]
Algorithms, Numerical methods, Balanced realizations, Mass-spring, Mechanical systems, Model reduction method, Numerical algorithms, Structured model, Sub-gradient optimization, Optimization
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-186819DOI: 10.1109/ECC.2015.7330696Scopus ID: 2-s2.0-84963837849ISBN: 9783952426937 (print)OAI: oai:DiVA.org:kth-186819DiVA: diva2:927948
Conference
European Control Conference, ECC 2015, 15 July 2015 through 17 July 2015
Note

QC 20160513

Available from: 2016-05-13 Created: 2016-05-13 Last updated: 2016-05-17Bibliographically approved

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Biel, MartinFarokhi, FarhadSandberg, Henrik
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Citation style
  • apa
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More styles
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  • de-DE
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  • nn-NB
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  • Other locale
More languages
Output format
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  • asciidoc
  • rtf