Iterative Learning Control for Networked Nonlinear Systems Using Latest Information

被引：0
|
作者：
Shen, Dong [1 ]
Xu, Yun [1 ]
机构：
[1] Beijing Univ Chem Technol, Coll Informat Sci & Technol, Beijing 100029, Peoples R China
来源：
2015 34TH CHINESE CONTROL CONFERENCE (CCC) | 2015年
关键词：
Iterative Learning Control; Networked Nonlinear System; Random Packet Loss;
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：
The iterative learning control (ILC) algorithm is constructed for networked nonlinear systems with random measurement losses modeled by a stochastic sequence. The algorithm updates regularly when the corresponding measurement is available, while updates with the latest available packet from previous iterations if the corresponding one is lost. The almost sure convergence is strictly proved, and illustrative simulations verify the effectiveness of the proposed algorithm.
引用
收藏
页码：3079 / 3084
页数：6
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