DocumentCode
2312
Title
Brief paper: iterative learning control for a class of non-linear switched systems
Author
Xuhui Bu ; Zhongsheng Hou ; Fashan Yu ; Ziyi Fu
Author_Institution
Sch. of Electr. Eng. & Autom., Henan Polytech. Univ., Jiaozuo, China
Volume
7
Issue
3
fYear
2013
fDate
February 14 2013
Firstpage
470
Lastpage
481
Abstract
In this study, the problem of iterative learning control for a class of non-linear switched systems with arbitrary switched rules is considered. It is assumed that the considered switched systems are operated during a finite-time interval repetitively, and then the iterative learning control scheme can be introduced. It is also shown that under some given conditions, the D-type iterative learning control law can guarantee the asymptotic convergence of the tracking error between the desired output and the actual output for the entire time interval through the iterative learning process. Two examples are given to illustrate the effectiveness of the proposed approach.
Keywords
convergence; iterative methods; learning systems; nonlinear control systems; self-adjusting systems; time-varying systems; D-type iterative learning control law; arbitrary switched rule; asymptotic convergence; finite time interval; iterative learning control scheme; nonlinear switched system; tracking error;
fLanguage
English
Journal_Title
Control Theory & Applications, IET
Publisher
iet
ISSN
1751-8644
Type
jour
DOI
10.1049/iet-cta.2012.0714
Filename
6544447
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