Automatic Adaptive Sampling in Parametric Model Order Reduction by Matrix Interpolation

Maria Cruz Varona, Mashuq-Un-Nabi, Boris Lohmann

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

In modeling and simulation of large-scale systems, Model Order Reduction (MOR), and specifically parametric MOR (pMOR), has grown in importance recently. In this paper, a concept based on distance between subspaces has been automated and combined with the efficient parametric reduction approach Matrix Interpolation to give an automatic adaptive sampling strategy in pMOR. An algorithm is developed and its efficacy established with the help of numerical results for a parametric Timoshenko beam model.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages472-477
Number of pages6
ISBN (Electronic)9781509059980
DOIs
StatePublished - 21 Aug 2017
Event2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017 - Munich, Germany
Duration: 3 Jul 20177 Jul 2017

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM

Conference

Conference2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017
Country/TerritoryGermany
CityMunich
Period3/07/177/07/17

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