DocumentCode :
1492613
Title :
A formal approach to fuzzy modeling
Author :
Lygeros, John
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., MIT, Cambridge, MA, USA
Volume :
5
Issue :
3
fYear :
1997
fDate :
8/1/1997 12:00:00 AM
Firstpage :
317
Lastpage :
327
Abstract :
A formalism for coding fuzzy models of dynamical systems is presented. It is shown that the formalism is rich enough to capture the performance of arbitrary conventional discrete time dynamical systems whose transition maps are polynomials with rational coefficients. The proof of this fact provides a constructive algorithm for generating fuzzy models to arbitrarily closely approximate an arbitrary map on a compact set. Our modeling formalism highlights the similarities between fuzzy systems and hybrid control systems. We hope to be able to exploit these similarities by extending results from the area of hybrid systems to the fuzzy domain and vice versa
Keywords :
discrete event systems; function approximation; fuzzy control; fuzzy set theory; fuzzy systems; inference mechanisms; modelling; polynomials; compact set; discrete time dynamical systems; formal approach; fuzzy modeling; fuzzy systems; hybrid control systems; polynomials; rational coefficients; transition maps; Control system synthesis; Design engineering; Function approximation; Fuzzy control; Fuzzy sets; Fuzzy systems; Logic; Mathematical model; Polynomials; Process design;
fLanguage :
English
Journal_Title :
Fuzzy Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6706
Type :
jour
DOI :
10.1109/91.618270
Filename :
618270
Link To Document :
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