A revised moment error expression for the AIRGA algorithm

Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica

卷:26

Faßbender Heike¹  Mayer Julius¹ 

[1] TU Braunschweig Institut Computational Mathematics Universitätsplatz,Braunschweig, Germany;

关键词: model order reduction;    krylov subspace;    global arnoldi algorithm;    moment matching;    second order;    proportional damping;   

DOI  :  10.2478/auom-2018-0020

来源: DOAJ

【 摘 要 】

The fully adaptive rational global Arnoldi method (AIRGA) for the modelorder reduction of second-order multi-input multi-output systems with proportional damping is revisited. The method automatically generates a reduced system approximating the transfer function. It is based on a moment-matching approach. The expansion points are determined iteratively. The reduced order and the number of moments matched per expansion point are determined adaptively using a heuristic based on an error estimation. A revised moment error expression is presented as well as some related findings.

【 授权许可】

Unknown