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：

10.1016/s1874-1029(13)60073-7

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

页码：1564 / 1569

页数：5