Passive reduced order modelling of second-order systems

被引：2

作者：

Salimbahrami, B. ^{[1
]}

Lohmann, B. ^{[1
]}

Bunse-Gerstner, A. ^{[2
]}

机构：

[1] Tech Univ Munich, D-8046 Garching, Germany

[2] Univ Bremen, Bremen, Germany

来源：

MATHEMATICAL AND COMPUTER MODELLING OF DYNAMICAL SYSTEMS | 2008年 / 14卷 / 05期

关键词：

second-order systems; order reduction; passivity; large-scale systems;

D O I：

10.1080/13873950701844279

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Two reduction methods for passive second-order systems are presented, preserving not only the second-order structure but also the passivity of the original system. The first Method is based oil applying a projection directly to the second-order system using a second-order Krylov subspace. To increase the number of matching parameters, in the second approach. it is proposed to reduce the equivalent state space model by a onesided Krylov method and to extract the second-order matrices by applying a similarity transformation to the reduced system.

引用

页码：407 / 420

页数：14

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