NEURAL MODELING AND FUZZY CONTROL - REGULATION OF THE TEMPERATURE OF AN OVEN

被引：0

作者：

FORTUNA, L ^{[1
]}

MUSCATO, G ^{[1
]}

NUNNARI, G ^{[1
]}

OCCHIPINTI, L ^{[1
]}

机构：

[1] UNIV CATANIA,DIPARTIMENTO ELECTTR ELETTRON & SISTEMIST,I-95125 CATANIA,ITALY

来源：

JOURNAL OF SYSTEMS ENGINEERING | 1995年 / 5卷 / 02期

关键词：

NEURAL NETWORK; MULTILAYER PERCEPTRON; FUZZY CONTROL; CELL-TO-CELL ALGORITHM; PID CONTROL;

D O I：

暂无

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：

The paper describes a method for the design of a generic fuzzy control system. The features of the approach proposed are essentially the following: a multilayer perceptron neural network is used for the process model identification phase, and the model thus obtained is used by the cell-to-cell algorithm for automatic synthesis of a fuzzy controller. The approach described is applied to the control of a physical system represented by a non-linear thermal process which is widely used in industrial environments. The validity of the method proposed, which requires no knowledge of the process to be controlled, will be clearly illustrated.

引用

页码：61 / 75

页数：15