Iterative learning control for linear time-variant discrete systems based on 2-D system theory

被引：50

作者：

Li, XD

Ho, JKL

Chow, TWS

机构：

[1] City Univ Hong Kong, Dept Mfg Engn & Engn Management, Hong Kong, Hong Kong, Peoples R China

[2] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China

来源：

IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS | 2005年 / 152卷 / 01期

关键词：

D O I：

10.1049/ip-cta:20041125

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The two-dimensional (2-D) system theory iterative learning control (ILC) techniques for linear time-invariant discrete systems are extended to the cases of linear time-variant discrete systems. By exploiting the convergent property of 2-D linear time-variant discrete systems with only one independent variable, a kind of 2-D system theory ILC approach is presented for linear time-variant discrete systems. Sufficient conditions are given for convergence of the proposed ILC rules. Two numerical examples are used to validate the ILC procedures.

引用

页码：13 / 18

页数：6

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