A fuzzy adaptive filter for system identification

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

doi:10.1109/CONIEL.2005.7

A fuzzy adaptive filter for system identification

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

Escuela Superior de Ingeniería Mecánica y Eléctrica (ESIME), Unidad Culhuacán

Research output: Contribution to conference › Paper › peer-review

2 Scopus citations

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.

Original language	English
Pages	138-142
Number of pages	5
DOIs	https://doi.org/10.1109/CONIEL.2005.7
State	Published - 2005
Event	15th International Conference on Electronics, Communications and Computers, CONIELECOMP 2005 - Puebla, Mexico Duration: 28 Feb 2005 → 2 Mar 2005

Conference

Conference	15th International Conference on Electronics, Communications and Computers, CONIELECOMP 2005
Country/Territory	Mexico
City	Puebla
Period	28/02/05 → 2/03/05

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10.1109/CONIEL.2005.7

Cite this

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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.",

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doi = "10.1109/CONIEL.2005.7",

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AU - Juárez-Hernández, M. A.

AU - Sánchez-García, J. C.

AU - Duchén-Sánchez, G.

AU - Valázquez-González, J. L.

AU - Diaz-Méndez, A.

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

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U2 - 10.1109/CONIEL.2005.7

DO - 10.1109/CONIEL.2005.7

M3 - Artículo

SP - 138

EP - 142

T2 - 15th International Conference on Electronics, Communications and Computers, CONIELECOMP 2005

Y2 - 28 February 2005 through 2 March 2005

ER -

A fuzzy adaptive filter for system identification

Abstract

Conference

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