DocumentCode :
577670
Title :
Iterative learning control for linear switched systems with arbitrary switched rules
Author :
Xuhui Bu ; Fashan Yu ; Zhongsheng Hou
Author_Institution :
Sch. of Electr. Eng. & Autom., Henan Polytech. Univ., Jiaozuo, China
fYear :
2012
fDate :
6-8 July 2012
Firstpage :
1182
Lastpage :
1187
Abstract :
In this paper, the problem of iterative learning control for a class of linear discrete-time switched systems with arbitrary switched rules is considered. It is assume 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 output error between the desired output and the actual output for the entire time interval through the iterative learning process. An example is given to illustrate the effectiveness of the proposed approach.
Keywords :
adaptive control; convergence; discrete time systems; iterative methods; learning systems; linear systems; time-varying systems; D-type iterative learning control law; arbitrary switched rule; asymptotic convergence; finite time interval; linear discrete-time switched system; Asymptotic stability; Convergence; Power system stability; Stability analysis; Switched systems; Switches; arbitrary switched rules; iterative learning control; linear switched system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
Type :
conf
DOI :
10.1109/WCICA.2012.6358060
Filename :
6358060
Link To Document :
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