Decentralized iterative learning control for switched large-scale systems

被引：2
|
作者：
Gu, Panpan [1 ]
Tian, Senping [1 ]
Liu, Qian [1 ]
机构：
[1] South China Univ Technol, Sch Automat Sci & Engn, Guangzhou 510640, Guangdong, Peoples R China
来源：
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL | 2019年 / 41卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Iterative learning control; decentralized control; switched large-scale systems; D-type learning algorithm; H-INFINITY CONTROL; NONLINEAR-SYSTEMS; LINEAR-SYSTEMS; STABILITY;
D O I：
10.1177/0142331218783249
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper is concerned with the iterative learning control problem for switched large-scale systems. According to the characteristics of the systems, a decentralized D-type iterative learning control law is proposed for such switched large-scale systems. The proposed controller of each subsystem relies only on local output variables, without any information exchanges with other subsystems. By using the contraction mapping method, it is shown that the algorithm can guarantee that the output of each subsystem converges to the desired trajectory over the whole time interval along the iteration axis. Finally, three numerical examples are given to illustrate the effectiveness of the proposed algorithm.
引用
收藏
页码：1045 / 1056
页数：12
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