✦ LIBER ✦

Combining Krylov subspace methods and identification-based methods for model order reduction

✍ Scribed by P. J. Heres; D. Deschrijver; W. H. A. Schilders; T. Dhaene

Publisher: John Wiley and Sons
Year: 2007
Tongue: English
Weight: 214 KB
Volume: 20
Category: Article
ISSN: 0894-3370
DOI: 10.1002/jnm.644

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✦ Synopsis

Abstract

Many different techniques to reduce the dimensions of a model have been proposed in the near past. Krylov subspace methods are relatively cheap, but generate non‐optimal models. In this paper a combination of Krylov subspace methods and orthonormal vector fitting (OVF) is proposed. In that way a compact model for a large model can be generated. In the first step, a Krylov subspace method reduces the large model to a model of medium size, then a compact model is derived with OVF as a second step. Copyright © 2007 John Wiley & Sons, Ltd.

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