Experimental Implementation of Iterative Learning Control for Processes with Stochastic Disturbances

被引：0

作者：

Cai, Zhonglun ^{[1
]}

Bristow, Douglas A.

Rogers, Eric ^{[1
]}

Freeman, Chris T. ^{[1
]}

机构：

[1] Univ Southampton, Sch Elect & Comp Sci, Southampton SO17 1BJ, Hants, England

来源：

2011 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL (ISIC) | 2011年

关键词：

ROBOTS; TIME;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

A number of iterative learning control algorithms have been developed in a stochastic setting in recent years. The results currently available are in the form of fundamental systems theoretical properties and associated algorithm development. This paper reports results from the application of a stochastic algorithm on a gantry robot system that has been used in the benchmarking a range of deterministic algorithms. These results confirm that this algorithm is capable of delivering good performance in the experimental domain, including comparison against an alternative.

引用

页码：406 / 411

页数：6

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