http://scholars.ntou.edu.tw/handle/123456789/18140| Title: | Parameter Estimation of Nonlinear System Based on Hybrid Intelligent Method | Authors: | Jih-Gau Juang Bo-Shian Lin Chien-Kuo Li |
Keywords: | parameter estimation;Nonlinear systems;recurrent neural networks;Neural networks;Neurons;Recursive estimation;system identification;Resonance light scattering;neurofeedback;Genetics | Issue Date: | 2004 | Publisher: | IEEE | Journal Volume: | 4 | Start page/Pages: | 3365-3370 | Conference: | 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583) The Hague, Netherlands |
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://scholars.ntou.edu.tw/handle/123456789/18140 | ISBN: | 0-7803-8566-7 | ISSN: | 1062-922X | DOI: | 10.1109/ICSMC.2004.1400862 |
| Appears in Collections: | 通訊與導航工程學系 |
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