National Taiwan Ocean University Institutional Repository:Item 987654321/28208
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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/28208

Title: Nonlinear System Identification by Evolutionary Computation and Recursive Estimation Method
Authors: Jih-Gau Juang;Bo-Shian Lin
Contributors: NTOU:Department of Communications Navigation and Control Engineering
國立臺灣海洋大學:通訊與導航工程學系
Date: 2005-06-08
Issue Date: 2011-10-21T02:36:14Z
Publisher: 2005 American Control Conference
Abstract: Abstract:Nonlinear system identification using evolutionary computation and recursive estimation method is presented. Four different recursive estimation methods, recursive least-squares, recursive least-squares with exponential forgetting, stochastic algorithm, and projection algorithm, combined with evolution algorithm are used in this study. Conventional system identification using recursive estimation methods are also given for comparison. After test, the proposed scheme has better convergence and accuracy on parameter estimation than the conventional estimation method.
Relation: 7, pp.5073-5078
URI: http://ntour.ntou.edu.tw/handle/987654321/28208
Appears in Collections:[Department of Communications Navigation and Control Engineering] Lecture & Seminar

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