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

页码：1105 / 1110

页数：6

共 15 条

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