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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40994

Title: Parameter Estimation of Nonlinear System Based on Hybrid Intelligent Method
Authors: Jih-Gau Juang;Bo-Shian Lin;Chien-Kuo Li
Contributors: 國立臺灣海洋大學:通訊與導航工程學系
Date: 2004
Issue Date: 2017-02-07T08:55:20Z
Publisher: Systems, Man and Cybernetics, 2004 IEEE International Conference on
Abstract: Abstract: Parameter estimation of nonlinear system using hybrid intelligent method is presented. A recursive least squares estimation combined with genetic algorithm is used in this study. A recurrent neural network for system identification and a conventional parameter estimation using recursive least-squares method are also given for comparison. After test, the proposed scheme has better performance on parameter estimation than the conventional least-squares estimation and the recurrent neural network.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40994
Appears in Collections:[通訊與導航工程學系] 演講及研討會

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