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Automated Reduced Model Order Selection

Abstract

This letter proposes to automate generation of reduced-order models used for accelerated -parameter computation by applying a posteriori model error estimators. So far,a posteriori error estimators were used in Reduced Basis Method (RBM) and Proper Orthogonal Decomposition (POD) to select frequency points at which basis vectors are generated. This letter shows how a posteriori error estimators can be applied to automatically select the order of the reduced model in second-order Model Order Reduction (MOR) methods. Three different error estimators are investigated and compared in order to arrive at a new MOR scheme that is fast, reliable, and fully automated. The effectiveness of the proposed approach is verified by very high accuracy of the computed scattering parameters ( -parameters) for an example of a waveguide filter over a prescribed frequency band.

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Details

Category:
Articles
Type:
artykuł w czasopiśmie wyróżnionym w JCR
Published in:
IEEE Antennas and Wireless Propagation Letters no. 14, pages 382 - 385,
ISSN: 1536-1225
Language:
English
Publication year:
2015
Bibliographic description:
Rewieński M., Fotyga G., Lamęcki A., Mrozowski M.: Automated Reduced Model Order Selection// IEEE Antennas and Wireless Propagation Letters. -Vol. 14, (2015), s.382-385
DOI:
Digital Object Identifier (open in new tab) 10.1109/lawp.2014.2364849
Verified by:
Gdańsk University of Technology

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