Model reduction for nonlinear systems based on the differential eigenstructure of Hankel operators

被引:0
|
作者
Fujimoto, K [1 ]
Scherpen, JMA [1 ]
机构
[1] Kyoto Univ, Grad Sch Informat, Dept Syst Sci, Uji, Kyoto 6110011, Japan
来源
PROCEEDINGS OF THE 40TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5 | 2001年
关键词
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
This paper offers a new input-normal output-diagonal realization and model reduction procedure for nonlinear systems based on the differential eigenstructure of Hankel operators. Firstly, we refer to the preliminary results on input-normal realizations with original singular value functions and the differential eigenstructure of Hankel operators with axis singular value functions. Secondly, the relationship between the two different characterizations of singular value functions is clarified and, consequently, the new input-normal realization is characterized. Thirdly, we perform the model reduction based on the obtained realization. Furthermore numerical examples demonstrate the effectiveness of the proposed method.
引用
收藏
页码:3252 / 3257
页数:6
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