Model reduction of state space systems via an implicitly restarted Lanczos method

被引：91

作者：

Grimme, EJ

Sorensen, DC

VanDooren, P

机构：

[1] UNIV ILLINOIS, COORDINATED SCI LAB, URBANA, IL 61801 USA

[2] RICE UNIV, DEPT COMPUTAT & APPL MATH, HOUSTON, TX 77251 USA

来源：

NUMERICAL ALGORITHMS | 1996年 / 12卷 / 1-2期

关键词：

state space systems; model reduction; nonsymmetric Lanczos method; eigenvalues; implicit restarting;

D O I：

10.1007/BF02141739

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

The nonsymmetric Lanczos method has recently received significant attention as a model reduction technique for large-scale systems. Unfortunately, the Lanczos method may produce an unstable partial realization for a given, stable system. To remedy this situation, unexpensive implicit restarts are developed which can be employed to stabilize the Lanczos generated model.

引用

页码：1 / 31

页数：31

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