Neuro-fuzzy based nonlinear models

被引：0

作者：

Nitu, C. ^{[1
]}

Dobrescu, A. ^{[1
]}

机构：

[1] Univ Politehn Bucuresti, Str Spl Independenei 313, Bucharest 74206, Romania

来源：

DEVICE APPLICATIONS OF NONLINEAR DYNAMICS | 2006年

关键词：

fuzzy control systems; automatic control; human-centered design; human factors; human perception; human reliability; human supervisory control;

D O I：

10.1007/3-540-33878-0_22

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

This paper presents a fuzzyfication method that consists in determining the parameters of the membership functions by using control error intervals and functions which cross these intervals. The proposed method can use constant or variable control error intervals and linear or nonlinear functions which cross these intervals and which determine the variable parameters of the neuro-fuzzy based nonlinear model with the designed membership functions. First, nonlinear models are presented, then a concrete system is analyzed in both cases: classic and adaptive.

引用

页码：237 / 244

页数：8

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