Nonlinear system identification for a DC motor using NARMAX approach

被引：0
|
作者：
Rahim, NA [1 ]
Taib, MN [1 ]
Yusof, MI [1 ]
机构：
[1] Univ Teknol MARA, Fac Elect Engn, Shah Alam 40450, Malaysia
来源：
SENSORS: ASIASENSE 2003 - ASIAN CONFERENCE ON SENSORS | 2003年
关键词：
D O I：
暂无
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
This paper presents the modeling of a direct current (DC) motor using the nonlinear autoregressive moving average with exogenous input (NARMAX approach. Multilayer perceptron (MLP) network was used to fit the structure of the NARMAX model. The result obtained was very satisfactory.
引用
收藏
页码：305 / 311
页数：7
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