PARTIAL FRACTION EXPANSION BASED FREQUENCY WEIGHTED MODEL REDUCTION FOR DISCRETE-TIME SYSTEMS

被引：1

作者：

Kumar, Deepak ^{[1
]}

Jazlan, Ahmad ^{[2
]}

Sreeram, Victor ^{[2
]}

Togneri, Roberto ^{[2
]}

机构：

[1] Motilal Nehru Natl Inst Technol Allahabad, Allahabad 211004, Uttar Pradesh, India

[2] Univ Western Australia, Sch Elect & Elect Engn, 35 Stirling Highway, Nedlands, WA 6009, Australia

来源：

NUMERICAL ALGEBRA CONTROL AND OPTIMIZATION | 2016年 / 6卷 / 03期

关键词：

Model Reduction; partial fraction expansion; weighted approximation error and free parameters;

D O I：

10.3934/naco.2016015

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper, a partial fraction expansion based frequency weighted model reduction algorithm is developed for discrete-time systems. The proposed method is an extension to the method by Sreeram et al. inverted left perpendicular 13 inverted right perpendicular and it yields stable reduced order models with both single and double sided weighting functions. Effectiveness of the proposed algorithm is demonstrated by a numerical example.

引用

页码：329 / 337

页数：9

共 15 条

[1] Finite-Frequency Model Reduction of Two-Dimensional Digital Filters [J].