Neural networks for automatic Fuzzy Control System design

被引：0

作者：

Villadangos, J ^{[1
]}

deMendivil, JRG ^{[1
]}

Alastruey, CF ^{[1
]}

Garitagoitia, JR ^{[1
]}

机构：

[1] PUBL UNIV NAVARRA,DEPT AUTOMAT ELECTR & SYST ENGN,E-31006 PAMPLONA,SPAIN

来源：

FROM NATURAL TO ARTIFICIAL NEURAL COMPUTATION | 1995年 / 930卷

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：

In this paper, a method for the automatic design of Fuzzy Control Systems is introduced. The method is based on the identification of the inverse model of the process to he controlled by using a Neural Network The Neural Network which models the inverse process, is used again to obtain a set of tuples representing the fuzzy variables of the fuzzy controller, In order to obtain the fuzzy linguistic variables involved in the fuzzy controller, a Neural Network is used with the DCL algorithm. Finally, the fuzzy controller is implemented by a decision table. The method has been applied to the automatic development of a fuzzy controller for a highly non linear process.

引用

页码：1092 / 1098

页数：7

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