System identification in hydraulic servo system with diagonal recurrent neural networks

被引：0

作者：

Chen, P ^{[1
]}

Qiu, LH ^{[1
]}

机构：

[1] Beijing Univ Aeronaut & Astronaut, Coll Automat Sci & Elect Engn, Beijing 100083, Peoples R China

来源：

PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON FLUID POWER TRANSMISSION AND CONTROL (ICFP'2001) | 2001年

关键词：

hydraulic servo system; Diagonal Recurrent Neural Networks (DRNN); system identification;

D O I：

暂无

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

This paper points out that the Diagonal Recurrent Neural Networks (DRNN) can deal with the dynamical system more effectively. We use this neural networks to identify the hydraulic servo system dynamical performance The adjustment of weight is the algorithm that take time varied into account. The simulation results and experiments testified that this method could rapidly and exactly get the dynamical performance.

引用

页码：499 / 503

页数：5

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