A bilinear differential forms approach to parametric structured state-space modelling

被引：0

作者：

Rapisarda, P. ^{[1
]}

Antoulas, A. C. ^{[2
,3
]}

机构：

[1] Univ Southampton, Sch Elect & Comp Sci, Vis Learning & Control Grp, Southampton SO17 1BJ, Hants, England

[2] Rice Univ, Dept Elect & Comp Engn, Houston, TX 77005 USA

[3] Univ Bremen, Sch Engn & Sci, D-28359 Bremen, Germany

来源：

SYSTEMS & CONTROL LETTERS | 2016年 / 92卷

关键词：

Bilinear differential forms; Loewner approach; Parametric modelling; INTERPOLATION PROBLEM; IDENTIFICATION; SYSTEMS;

D O I：

10.1016/j.sysconle.2016.02.014

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We use one-variable Loewner techniques to compute polynomial-parametric models for MIMO systems from vector-exponential data gathered at various points in the parameter space. Instrumental in our approach are the connections between vector-exponential modelling via bilinear differential forms and the Loewner framework. (C) 2016 Elsevier B.V. All rights reserved.

引用

页码：14 / 19

页数：6

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