Convergence analysis of ILC input sequence for underdetermined linear systems

作     者：Dong SHEN Jian HAN Youqing WANG 

作者机构：College of Information Science and Technology Beijing University of Chemical Technology 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2017年第60卷第9期

页      面：305-307页

核心收录：

学科分类：08[工学] 0835[工学-软件工程] 0802[工学-机械工程] 080201[工学-机械制造及其自动化] 

基　　金：supported by National Natural Science Foundation of China (Grant Nos. 61673045, 61304085, 61374099 Beijing Natural Science Foundation (Grant No. 4152040) 

主　　题：In Convergence analysis of ILC input sequence for underdetermined linear systems ILC 

摘      要：Dear editor,Iterative learning control(ILC)is a kind of intelligent control strategy,applied to those systems that could complete a given task over a finite time interval and repeat it again and *** introduced in 1984,it has gained fast developments during the past three decades[1].In order to analyze the tracking performance of ILC,it is conventional to prove that the actual input sequence converges to the desired input along the iteration axis in most