An application of dual-fuzzy neural-networks to design of adaptive fuzzy controllers

被引：0
|
作者：
Xu, Kai-jun [1 ]
Zou, Li [1 ]
Lai, Jia-jun [1 ]
Xu, Yang [1 ]
机构：
[1] Southwest Jiaotong Univ, Intelligent Control Dev Ctr, Chengdu, Sichuan, Peoples R China
来源：
ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 1, PROCEEDINGS | 2007年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a design method of adaptive fuzzy controllers using dual-fuzzy neural networks (DFNNs). For the convenience of adaptive control, the structure of the two-fuzzy neural-network controller is divided into two parts. Each part is a fuzzy neural-network (FNN). The adaptive controller uses two FNNs. One FNN is used to identify a fuzzy model of controlled object. The fuzzy control rule is designed with the linguistic rules of the fuzzy model and is incorporated into the other FNN. simulations using a controlled object with an non-monotonic input-output characteristics are done to verify the proposed design method.
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收藏
页码：371 / +
页数：2
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