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Application of neural networks to fuzzy control

โœ Scribed by Faouzi Bouslama; Akira Ichikawa

Publisher
Elsevier Science
Year
1993
Tongue
English
Weight
510 KB
Volume
6
Category
Article
ISSN
0893-6080

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โœฆ Synopsis

This paper gives a possible application of neural networks to fuzzy control. In fuzzy control a set of linguistic rules are given and by specifying a method or fuzzy reasoning and defit--ification an input-output relation is obtained. Fuzz), controllers thus obtained are usuallj, irregTdar, and are not necessarily what experts expect. It is sometimes difficult to implement such controllers when processing time is limited. Here we attempt to dissoh,e such drawbacks using neural networks that can learn these input-output maps. We show that good neuro-controller can be obtained for an inverted penduhtm system. The structure of the neuro-controller is simple, and hence analysis and implementation are easy. We discuss the stability of the system and confirm our results by experiments.

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