On iterative learning control

被引：1
|
作者：
Sugie, T [1 ]
机构：
[1] Kyoto Univ, Grad Sch Informat, Dept Syst Sci, Kyoto 6110011, Japan
来源：
INTERNATIONAL CONFERENCE ON INFORMATICS RESEARCH FOR DEVELOPMENT OF KNOWLEDGE SOCIETY INFRASTRUCTURE, PROCEEDINGS | 2004年
关键词：
D O I：
10.1109/ICKS.2004.1313427
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 describes a new type of iterative learning control (ILC) which seeks the desired input in an appropriate e finite dimensional input subspace. The method achieves perfect tracking for a class of uncertain systems without using time derivative of tracking error signals in the learning law. Its effectiveness is demonstrated by experiments. In addition, an application of the ILC method to continuous-time model identification is shown.
引用
收藏
页码：214 / 220
页数：7
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