Open AccessIterative learning control for a class of non‐linear switched systems
Author(s) -
Bu Xuhui,
Hou Zhongsheng,
Yu Fashan,
Fu Ziyi
Publication year - 2013
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2012.0714
Subject(s) - iterative learning control , control theory (sociology) , class (philosophy) , computer science , linear system , control (management) , mathematics , artificial intelligence , mathematical analysis
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.