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ID 662
file
title alternative
On Learning of Fuzzy Contoller with Neural Network
creator
Mizukami, Koichi
Fuke, Hirofumi
subject
Neural Network
Fuzzy Controller
Learning
Control Rules
NDC
Electrical engineering
abstract
The fuzzy controller (FC) consists of two parts. First one is the control rule part which is referred to as linguistic rules. And it is written in the form of 'If∿THEN∿'. Second one is fuzzy reasoning which derives the reasoning value from the control rules. So it is easy for us to understand FC. However, there are two problems. First one is how to make the control rules. We usually take the rules from an expert. But it is not easy. Because all rules which the extpert has are not linguistic rules. The neural network has ability of learning. So many people expect that it is useful to get the control rules identified from the expert. And several researchers study with respect to it. Horikawa, one of them, presents a fuzzy controller using a neural network. The controller can automaticaly identify the control rules and tune the membership functions utilizing control data of the expert. The controller uses the rules written in the form of 'IF∿THEN y=f', where 'f' is constant. However, when FC uses this rules, it needs many rules. In this paper, we present a new fuzzy controller with a neural network which uses the rules written 'IF∿THEN y=f(・)', where f(・) is a linear function. Because when FC uses this rule, it need not many rules. In order to demonstrate the effectiveness of this FC, we simulate by using a computer to control a first order delayed system with a dead time. And we compare this controller with Horikawa's controller.
journal title
Memoirs of the Faculty of Integrated Arts and Sciences, Hiroshima University. IV, Science reports
volume
Volume 21
start page
81
end page
91
date of issued
1995-12-28
publisher
広島大学総合科学部
contributor
国立情報学研究所
date of created
2006-03-21
issn
1340-8364
ncid
SelfDOI
language
jpn
nii type
Departmental Bulletin Paper
HU type
Departmental Bulletin Papers
DCMI type
text
format
application/pdf
text version
publisher
department
Graduate School of Integrated Arts and Sciences
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