A frequency weighted model order reduction technique and error bounds

被引：46

作者：

Imran, Muhammad ^{[1
]}

Ghafoor, Abdul ^{[1
]}

Sreeram, Victor ^{[2
]}

机构：

[1] NUST, Mil Coll Signals, Islamabad, Pakistan

[2] Univ Western Australia, Sch Elect Elect & Comp Engn, Crawley, WA 6009, Australia

来源：

AUTOMATICA | 2014年 / 50卷 / 12期

关键词：

Model reduction; Gramians; Frequency weighted; Balanced truncation; Error bounds; SYSTEMS;

D O I：

10.1016/j.automatica.2014.10.062

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A new frequency weighted technique for balanced model reduction is proposed. The proposed technique not only provides stable reduced order models for the case when both input and output weightings are included but also yields frequency response error bounds. The method is illustrated using numerical examples and the results are compared with other frequency weighted model reduction techniques. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：3304 / 3309

页数：6

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