DocumentCode :
747870
Title :
Fuzzy logic controllers are universal approximators
Author :
Castro, J.L.
Author_Institution :
Dept. de Ciencias de la Comput. e Inteligencia Artificial, Granada Univ., Spain
Volume :
25
Issue :
4
fYear :
1995
fDate :
4/1/1995 12:00:00 AM
Firstpage :
629
Lastpage :
635
Abstract :
In this paper, we consider a fundamental theoretical question on why does fuzzy control have such a good performance for a wide variety of practical problems. We try to answer this fundamental question by proving that for each fixed fuzzy logic belonging to a wide class of fuzzy logics, and for each fixed type of membership function belonging to a wide class of membership functions, the fuzzy logic control systems using these two and any method of defuzzification are capable of approximating any real continuous function on a compact set to arbitrary accuracy. On the other hand, this result can be viewed as an existence theorem of an optimal fuzzy logic control system for a wide variety of problems
Keywords :
function approximation; fuzzy control; fuzzy logic; fuzzy set theory; inference mechanisms; defuzzification; fuzzy control; fuzzy inference; membership functions; real continuous function approximation; universal approximators; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Humans; Polynomials; Power system dynamics; Power system modeling; Turning;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9472
Type :
jour
DOI :
10.1109/21.370193
Filename :
370193
Link To Document :
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