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High Order Internal Model Iterative Learning Control for Impulsive Differential Systems
被引:0
|作者:
Luo, Zijian
[1
]
Wang, Jinrong
[1
]
Wei, Wei
[1
,2
]
机构:
[1] GuiZhou Univ, Coll Sci, Guiyang 550025, Peoples R China
[2] Guizhou Minzu Univ, Guiyang 550025, Peoples R China
来源:
PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC)
|
2016年
关键词:
high-order internal mode;
iterative learning control;
varying reference trajectory;
impulsive differential systems;
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:
In this paper, we design high-order internal models learning law for impulsive differential systems to track the varying reference accurately by adopting a few iterations in a finite time interval. We present convergence analysis for the P-type and D-type updating law. Finally, two examples are given to illustrate our theoretical results.
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页码:4237 / 4241
页数:5
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