AN ITERATIVE LEARNING CONTROL LAW FOR DYNAMIC-SYSTEMS

被引：136

作者：

SUGIE, T ^{[1
]}

ONO, T ^{[1
]}

机构：

[1] UNIV OSAKA PREFECTURE,DEPT MECH ENGN,SAKAI,OSAKA 591,JAPAN

来源：

AUTOMATICA | 1991年 / 27卷 / 04期

关键词：

ROBUST CONTROL; LEARNING CONTROL; NONLINEAR CONTROL SYSTEMS; TRACKING SYSTEMS; RECURSIVE ALGORITHMS;

D O I：

10.1016/0005-1098(91)90066-B

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 an iterative learning control law which enables us to find a control input that generates the desired output exactly over a finite time interval through the repetition of trials. We derive a sufficient condition for nonlinear systems to achieve the desired output by the iterative learning control. Based on this result, we show that the direct transmission term of the plant plays a crucial role in the error convergence of the learning process. Further, we identify the class of plants to which the learning control law is applicable.

引用

页码：729 / 732

页数：4

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[No title captured]

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