A fuzzy neural network control system based on embedded system

被引：0
|
作者：
Meng, Xiaoying [1 ]
Tang, Yuening [1 ]
Li, Yan [1 ]
He, Jia [2 ]
机构：
[1] Harbin Univ Sci & Technol, Dept Comp Sci & Technol, Harbin, Heilongjiang, Peoples R China
[2] Heilongjiang Univ, Dept Russian, Harbin, Peoples R China
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS I-V, CONFERENCE PROCEEDINGS | 2007年
关键词：
fuzzy neural network embedded system; ARM core; real time operating system;
D O I：
10.1109/ICMA.2007.4303929
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 present a fuzzy neural network control system based on embedded system, which is at the base of research on the fuzzy neural network and the embedded technology. The fuzzy neural network is an adaptive neural network whose parameters can be corrected by learning algorithms automatically. The embedded system consists of s3c44box with ARM core and a real time operating system. The fuzzy neural network control system runs on the platform of the embedded system. Finally, a real control experiment on the system is introduced. The simulation result indicates the system is stable and efficient, and obtained the results as expected.
引用
收藏
页码：2394 / 2398
页数：5
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