A model order reduction technique for parametric uncertain models

被引：0

作者：

Baki, H ^{[1
]}

Munro, N ^{[1
]}

机构：

[1] Univ Manchester, Inst Sci & Technol, Control Syst Ctr, Manchester M13 9PL, Lancs, England

来源：

UKACC INTERNATIONAL CONFERENCE ON CONTROL '98, VOLS I&II | 1998年

关键词：

model-order reduction; linear systems; balanced realization; uncertain systems; symbolic algebra;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Applying model-order reduction algorithms developed for fixed-parameter models based-on balancing transformations to parametric uncertain models is considered in this paper. High-order models are first decomposed into sub-models of lower order using serial and parallel decompositions, then model-order reduction algorithms implemented in a symbolic environment are used to reduce these sub-models. At the end of this process, a reduced-order model of the original higher-order model is produced by recombining the reduced sub-models.

引用

页码：302 / 306

页数：5

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