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

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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. © 2005 IEEE.
Original languageAmerican English
Pages138-142
Number of pages123
DOIs
StatePublished - 1 Dec 2005
EventProceedings - 15th International Conference on Electronics, Communications and Computers, CONIELECOMP 2005 -
Duration: 1 Dec 2005 → …

Conference

ConferenceProceedings - 15th International Conference on Electronics, Communications and Computers, CONIELECOMP 2005
Period1/12/05 → …

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Cite this

Juárez-Hernández, M. A., Sánchez-García, J. C., Duchén-Sánchez, G., Valázquez-González, J. L., & Diaz-Méndez, A. (2005). A fuzzy adaptive filter for system identification. 138-142. Paper presented at Proceedings - 15th International Conference on Electronics, Communications and Computers, CONIELECOMP 2005, . https://doi.org/10.1109/CONIEL.2005.7