CMAC neural network fuzzy control

被引：0
|
作者：
Zhou, FZ [1 ]
Shi, WX [1 ]
机构：
[1] Luoyang Inst Technol, Luoyang 471039, Henan Province, Peoples R China
来源：
RO-MAN '97 SENDAI: 6TH IEEE INTERNATIONAL WORKSHOP ON ROBOT AND HUMAN COMMUNICATION, PROCEEDINGS | 1997年
关键词：
D O I：
暂无
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 thesis combines the advantages of the CMAC neural network and the fuzzy control, it proposes a new method of the CMAC neural network fuzzy control.on the basis of theoretical study, it mainly researches the control algorithm, which can realize the control method and the training method of the neural network. At last, it uses this new method on the control of a two freedom robot hand. By the simulation and the experimental research, it is proved that the method has a series of advantages. It can realize in-line(real-time) control of the high-response servo-mechanism.[7].
引用
收藏
页码：236 / 241
页数：4
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