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
收藏
页码：14 / 19
页数：6
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