Passivity Preserving Frequency Weighted Model Order Reduction Technique

被引：10

作者：

Ghafoor, Abdul ^{[1
]}

Imran, Muhammad ^{[2
]}

机构：

[1] Natl Univ Sci & Technol, Dept Informat Secur, Mil Coll Signals, Islamabad, Pakistan

[2] Natl Univ Sci & Technol, Dept Elect Engn, Mil Coll Signals, Islamabad, Pakistan

来源：

CIRCUITS SYSTEMS AND SIGNAL PROCESSING | 2017年 / 36卷 / 11期

关键词：

Model reduction; Balanced truncation; Passivity; Lur'e equations; VARIATIONAL BALANCED TRUNCATION; GRAMIANS;

D O I：

10.1007/s00034-017-0540-7

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：

A new passivity preserving frequency weighted balanced model order reduction technique is proposed. The proposed technique preserves passivity (and stability) of reduced-order models for the case when both input and output weightings are included. Numerical examples are presented to show the usefulness and effectiveness of the proposed technique.

引用

页码：4388 / 4400

页数：13

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