Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/76532
Type: Artigo de periódico
Title: A novel approach to robust parameter estimation using neurofuzzy systems
Author: da Silva, IN
de Arruda, LVR
do Amaral, WC
Abstract: A novel approach for solving robust parameter estimation problems is presented for processes with unknown-but-bounded errors and uncertainties. An artificial neural network is developed to calculate a membership set for model parameters. Techniques of fuzzy logic control lead the network to its equilibrium points. Simulated examples are presented as an illustration of the proposed technique. The result represent a significant improvement over previously proposed methods. (C) 1999 IMACS/Elsevier Science B.V. All rights reserved.
Subject: robust parameter estimation
neurofuzzy system
artificial intelligence
neural networks
Country: Holanda
Editor: Elsevier Science Bv
Rights: fechado
Identifier DOI: 10.1016/S0378-4754(98)00161-X
Date Issue: 1999
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

Files in This Item:
File Description SizeFormat 
WOS000079961200001.pdf253.99 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.