A Fuzzy Adaptive Filter for System Identification

Author

Juárez-Hernández, M.A. ; Sánchez-García, J.C. ; Duchén-Sánchez, G. ; Valázquez-González, J.L. ; Díaz-Méndez, A.

Author_Institution

Instituto Politecnico Nacional, Mexico City, Mexico

fYear

2005

Firstpage

138

Lastpage

142

Abstract

An adaptive fuzzy filter and its use for system identification is proposed. This fitter proposes a fuzzy adaptation algorithm which uses the reference signal and the error signal as inputs and the multiplication of the reference signal by the approximated weight as an output which avoid the use of multiplication circuits for its implementation in VLSI. Simulation results show that the proposed adaptive fuzzy filter outperforms the conventional LMS adaptive filter used as system identification with its faster convergence rate.

Keywords

FIR filters; VLSI; adaptive filters; convergence; fuzzy logic; identification; transversal filters; VLSI implementation; adaptive fuzzy filter; convergence rate; fuzzy logic; reference/error signal multiplication; system identification; transversal FIR filter; Adaptation model; Adaptive filters; Convergence; Fuzzy logic; Fuzzy systems; Least squares approximation; Mathematical model; Resonance light scattering; System identification; Transversal filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Communications and Computers, 2005. CONIELECOMP 2005. Proceedings. 15th International Conference on

Print_ISBN

0-7695-2283-1

Type

conf

DOI

10.1109/CONIEL.2005.7

Filename

1488549