Iterative Learning Control for Distributed Parameter Switched Systems

被引：0
|
作者：
Zhang Jianxiang [1 ]
Dai Xisheng [1 ,2 ]
Tian Senping [3 ]
机构：
[1] Guangxi Univ Sci & Technol, Sch Elect & Informat Engn, Liuzhou 545006, Peoples R China
[2] Guangxi Univ Sci & Technol, Intelligent Control Lab Ind Proc, Liuzhou 545006, Peoples R China
[3] S China Univ Technol, Sch Automat Sci & Engineer, Guangzhou 510640, Guangdong, Peoples R China
来源：
2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2015年
关键词：
iterative learning control; switched system; distributed parameter system; convergence analysis; LINEAR-SYSTEMS; STABILIZATION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Iterative learning control techniques applied to a class of distributed parameters switched systems, using P-type learning control law to investigate the problem of target tracking control. Convergence condition of the P type iterative learning control law have been proposed in this paper, and the convergence analysis has been given. It is assumed that the subsystem is operated during a finite time interval repetitively. The simulation results illustrate that the P-type iterative learning control algorithm for a class of distributed parameter switched system is effective.
引用
收藏
页码：1105 / 1110
页数：6
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