Iterative Learning Control for Discrete-Time Affine Nonlinear System with Iteration Varying Lengths

被引：0
|
作者：
Zhang, Wei [1 ]
Shen, Dong [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; Iteration Varying Lengths; Affine Nonlinear System; TRAJECTORIES; SCALES;
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：
This note proposes ILC for discrete-time affine nonlinear systems with randomly iteration varying lengths. No prior information on the probability of random iteration length is required. The conventional P-type update law is used with a modified tracking error because of random iteration length. The modified supremum norm technique is used to prove the zero convergence of tracking error. Illustrative example show the effectiveness of the proposed algorithm.
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页码：3062 / 3067
页数：6
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