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
Link To Document :
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