ITERATIVE LEARNING CONTROL SYNTHESIS BASED ON 2-D SYSTEM-THEORY

被引：280

作者：

KUREK, JE ^{[1
]}

ZAREMBA, MB ^{[1
]}

机构：

[1] UNIV QUEBEC,DEPT INFORMAT,HULL J8X 3X7,QUEBEC,CANADA

来源：

IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 1993年 / 38卷 / 01期

基金：

加拿大自然科学与工程研究理事会;

关键词：

2-D system theory - Discrete-time multivariable systems - Iterative learning - Linear multivariable systems;

D O I：

10.1109/9.186321

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An algorithm is presented for iterative learning of the control input for a linear discrete-time multivariable system. Necessary and sufficient conditions are stated for convergence of the proposed algorithm. The algorithm synthesis and analysis are based on two-dimensional (2-D) system theory. A numerical example is given.

引用

页码：121 / 125

页数：5

共 14 条

[1] BETTERING OPERATION OF ROBOTS BY LEARNING [J].