Adaptive Iterative Learning Control for Complex Dynamical Networks

被引：1
作者：
Hao, Xiuqing [1 ,2 ]
Li, Junmin [1 ]
机构：
[1] Xidian Univ, Sch Math & Stat, Xian 710071, Peoples R China
[2] Xian Shiyou Univ, Sch Sci, Xian 710065, Peoples R China
来源：
MATHEMATICAL PROBLEMS IN ENGINEERING | 2015年 / 2015卷
基金：
中国国家自然科学基金;
关键词：
SYSTEMS; SYNCHRONIZATION;
D O I：
10.1155/2015/462027
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A new adaptive iterative learning control scheme is proposed for complex dynamical networks with repetitive operation over a fixed time interval. By designing difference type updating laws for unknown time-varying parameters and coupling strength, the state of each node in complex dynamical networks can track the reference signal. By constructing a composite energy function, a sufficient condition of the convergence of tracking error sequence is achieved in the iteration domain. Finally, a numerical example is given to show the effectiveness of the designed method.
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收藏
页数：9
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