A discussion on Sugeno fuzzy logic approximations of nonlinear systems

Author

Derbel, Nabil

Author_Institution

Nat. Sch. of Eng. of Sfax (ENIS), Univ. of Sfax, Sfax

fYear

2008

fDate

20-22 July 2008

Firstpage

1

Lastpage

9

Abstract

This work is aimed at looking into the use of fuzzy systems for the study of nonlinear systems. In a first step, zero-order and first-order Sugeno fuzzy models are defined as approximators of nonlinear systems. It has been found that zero-order fuzzy systems are equivalent to the classical interpolation approach. Nonlinear terms have been limited by two fuzzy systems. The mean fuzzy system gives good accuracy. As illustrations, some numerical applications have been considered to show the efficiency of the use of fuzzy systems to study nonlinear problems.

Keywords

approximation theory; fuzzy control; fuzzy set theory; interpolation; nonlinear control systems; Sugeno fuzzy logic control approximations; first-order model; fuzzy set theory; interpolation; nonlinear systems; zero-order model; Automatic control; Fuzzy control; Fuzzy logic; Fuzzy systems; Intelligent control; Interpolation; Mathematical model; Nonlinear systems; Performance analysis; Stability analysis; First-Order Sugeno Fuzzy Systems; Nonlinear Approximators; Nonlinear Problems; Zero-Order Sugeno Fuzzy Systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Signals and Devices, 2008. IEEE SSD 2008. 5th International Multi-Conference on

Conference_Location

Amman

Print_ISBN

978-1-4244-2205-0

Electronic_ISBN

978-1-4244-2206-7

Type

conf

DOI

10.1109/SSD.2008.4632825

Filename

4632825