Error estimation for Arnoldi-based model order reduction of MEMS

被引：0

作者：

Bechtold, T ^{[1
]}

Rudnyi, EB ^{[1
]}

Korvink, JG ^{[1
]}

机构：

[1] Univ Freiburg, IMTEK, D-79110 Freiburg, Germany

来源：

NSTI NANOTECH 2004, VOL 2, TECHNICAL PROCEEDINGS | 2004年

关键词：

error estimate; model order reduction; Arnoldi algorithm; convergence; Hankel singular values;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper we present two different, heuristic error estimates for the Pade-type approximation of transfer functions via an Arnoldi algorithm. We first suggest a convergence criterion between two successive reduced models of the order r and r + I. We further propose to use the solution of the Lyapunov equations for reduced-order systems as a stop-criterion during iterative model order reduction.

引用

页码：430 / 433

页数：4

共 12 条

[1]

Bai Z., 1998, Electronic Transaction on Numerical Analysis, V7, P1

[2] Krylov subspace techniques for reduced-order modeling of large-scale dynamical systems [J].