Reduced-order modeling of LPV systems in the Loewner framework

被引：2

作者：

Gosea, Ion Victor ^{[1
]}

Petreczky, Mihaly ^{[2
]}

Antoulas, Athanasios C. ^{[1
,3
]}

机构：

[1] Max Planck Inst Dynam Complex Tech Syst, Magdeburg, Germany

[2] Ctr Rech Informat, Paris, France

[3] Rice Univ, Houston, TX 77251 USA

来源：

2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC) | 2021年

关键词：

REDUCTION; IDENTIFICATION; REALIZATION;

D O I：

10.1109/CDC45484.2021.9683742

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we propose a model reduction method for LPV systems. We consider LPV state-space representations with an affine dependence on the scheduling variables. The main idea behind the proposed method is to compute the reduced order model in such a manner that its frequency domain transfer function coincides with that of the original model for some frequencies. The proposed method uses Loewner-like matrices, which can be calculated from the frequency domain representation of the system. The contribution of the paper represents an extension of the well-established Loewner framework to LPV models.

引用

页码：3299 / 3305

页数：7

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