DocumentCode :
1185305
Title :
A Novel Fuzzy System With Dynamic Rule Base
Author :
Chen, Weitian ; Saif, Mehrdad
Author_Institution :
Sch. of Eng. Sci., Simon Fraser Univ., Vancouver, BC
Volume :
13
Issue :
5
fYear :
2005
Firstpage :
569
Lastpage :
582
Abstract :
A new fuzzy system containing a dynamic rule base is proposed in this paper. The novelty of the proposed system is in the dynamic nature of its rule base which has a fixed number of rules and allows the fuzzy sets to dynamically change or move with the inputs. The number of the rules in the proposed system can be small, and chosen by the designer. The focus of this article is mainly on the approximation capability of this fuzzy system. The proposed system is capable of approximating any continuous function on an arbitrarily large compact domain. Moreover, it can even approximate any uniformly continuous function on infinite domains. This paper addresses existence conditions, and as well provides constructive sufficient conditions so that the new fuzzy system can approximate any continuous function with bounded partial derivatives. Finally, an example is given to show how the proposed fuzzy system can be effectively used for system modeling and control
Keywords :
approximation theory; function approximation; fuzzy set theory; fuzzy systems; approximation capability; continuous function; dynamic rule base; fuzzy sets; fuzzy system; Control system synthesis; Control systems; Councils; Function approximation; Fuzzy control; Fuzzy sets; Fuzzy systems; Modeling; Optimization methods; Sufficient conditions; Function approximation; fuzzy system; fuzzy theory;
fLanguage :
English
Journal_Title :
Fuzzy Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6706
Type :
jour
DOI :
10.1109/TFUZZ.2005.856566
Filename :
1516150
Link To Document :
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