Iterative identification method for linear continuous-time systems

被引：0
|
作者：
Campi, Marco C. [1 ]
Sugie, Toshiharu [2 ]
Sakai, Fumitoshi [3 ]
机构：
[1] Univ Brescia, Dipartimento Elettron Automat, Via Branze 38, I-25123 Brescia, Italy
[2] Kyoto Univ, Grad Sch Informat, Dept Syst Sci, Kyoto 6110011, Japan
[3] Nara Natl Coll Technol Yamatokoriyama, Dept Engn Mech, Nara 6391080, Japan
来源：
PROCEEDINGS OF THE 45TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-14 | 2006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 presents a novel approach to identification of continuous-time systems directly from the sampled 110 data based on trial iterations. The method achieves identification through ILC (iterative learning control) concepts in the presence of heavy measurement noise. The robustness against measurement noise is achieved through (i) projection of continuous-time I/O signals onto a finite dimensional parameter space and (ii) Kalman filter type noise reduction. In addition, an alternative simpler method is given with some robustness analysis. Its effectiveness is demonstrated through numerical examples for a non-minimum phase plant.
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页码：818 / +
页数：2
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