Iterative learning control for a class of linear discrete-time switched systems

被引：2
|
作者：
Bu, Xu-Hui [1 ]
Yu, Fa-Shan [1 ]
Hou, Zhong-Sheng [2 ]
Wang, Fu-Zhong [1 ]
机构：
[1] School of Electrical Engineering and Automation, Henan Polytechnic University
[2] Advanced Control Systems Laboratory, School of Electronics and Information Engineering, Beijing Jiaotong University
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2013年 / 39卷 / 09期
基金：
中国国家自然科学基金;
关键词：
Arbitrary switching signals; Convergence; Iterative learning control (ILC); Switched systems; Tracking;
D O I：
10.3724/SP.J.1004.2013.01564
中图分类号：
学科分类号：
摘要：
In this paper, the iterative learning control (ILC) is considered for a class of linear discrete-time switched systems with arbitrary switching signals. It is assumed that the switched system is operated during a finite time interval repetitively, and then the first order P-type ILC scheme can be used to achieve perfect tracking over the whole time interval. By the super vector approach, a convergence condition for such ILC systems in the iteration domain can be given. The theoretical analysis is supported by simulations. © 2013 Acta Automatica sinica. All rights reserved.
引用
收藏
页码：1564 / 1569
页数：5
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