Model reduction for linear parameter-varying systems through parameter projection

被引：0

作者：

Schouten, Sil ^{[1
]}

Lou, Daming ^{[1
]}

Weiland, Siep ^{[1
]}

机构：

[1] Eindhoven Univ Technol, Dept Elect Engn, Eindhoven, Netherlands

来源：

2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC) | 2019年

关键词：

ORDER REDUCTION;

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：

For affine linear parameter-varying (LPV) systems, this paper develops two parameter reduction methods for reducing the dimension of the parameter space. The first method achieves the complexity reduction by transforming the affine LPV system into a parameter-ordered form and establishing an affine upper bound of the system Gramians, which is extended to time-varying rate-bounded parameters. The second method is based on considering the sensitivity function of the transfer function and time evolution equations. Both methods are applied to a thermal model. Simulation results together with some analysis are given.

引用

页码：7800 / 7805

页数：6

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