Robust gradient-based iterative learning control

被引：3
|
作者：
Owens, D. H. [1 ]
Hatonen, J. [1 ]
Daley, S. [1 ]
机构：
[1] Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield S1 3JD, S Yorkshire, England
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING, AND CONTROL, VOLS 1 AND 2 | 2007年
关键词：
iterative learning control; robust control; parameter optimization; positive-real systems;
D O I：
10.1109/ICNSC.2007.372770
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 considers the robustness of a gradient-based Iterative Learning Control (ILC) algorithm to ensure monotonic convergence with respect to the mean square value of the error time series. The paper provides necessary and sufficient conditions for robust monotonic convergence and sufficient frequency domain conditions for robust monotonic convergence on finite time intervals.
引用
收藏
页码：163 / 168
页数：6
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