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.

引用

页码：371 / +

页数：2

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