A novel approach to robust parameter estimation using neurofuzzy systems

被引：2
|
作者：
da Silva, IN
de Arruda, LVR
do Amaral, WC
机构：
[1] Univ Sao Paulo, Dept Elect Engn, UNESP, FET,DEE, BR-17033360 Bauru, SP, Brazil
[2] Fed Ctr Educ Technol, CEFET, PR CPGEI, BR-80230901 Curitiba, Parana, Brazil
[3] Univ Campinas, Dept Comp Engn & Ind Automat, BR-13081970 Campinas, SP, Brazil
来源：
MATHEMATICS AND COMPUTERS IN SIMULATION | 1999年 / 48卷 / 03期
关键词：
robust parameter estimation; neurofuzzy system; artificial intelligence; neural networks;
D O I：
10.1016/S0378-4754(98)00161-X
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页码：251 / 268
页数：18
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