| 引用本文: | 张兆宁,喻文焕,郁惟镛.动态非线性连续时间系统的小波神经网络辨识[J].控制理论与应用,2002,19(5):709~712.[点击复制] |
| ZHANG Zhao-ning,YU Wen-huan,YU Wei-yong.Continuous time nonlinear system identification with wavelet neural networks[J].Control Theory and Technology,2002,19(5):709~712.[点击复制] |
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| 动态非线性连续时间系统的小波神经网络辨识 |
| Continuous time nonlinear system identification with wavelet neural networks |
| 摘要点击 1356 全文点击 1326 投稿时间：2000-09-26 修订日期：2001-06-04 |
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| DOI编号 10.7641/j.issn.1000-8152.2002.5.010 |
| 2002,19(5):709-712 |
| 中文关键词 小波 神经网络 非线性连续时间系统 辨识 |
| 英文关键词 wavelets neural networks nonlinear continuous time system identification |
| 基金项目 国家自然科学基金(69774012)资助项目. |
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| 中文摘要 |
| 将小波神经网络应用于动态非线性连续时间系统的辨识, 同时为了使神经网络的训练达到全局最优和加速小波神经网络训练的收敛速度, 提出了信赖域算法, 并研究了信赖域算法的收敛性. 随后进行了算例仿真, 证明了所提辨识方法的有效性. |
| 英文摘要 |
| The wavelet neural networks are used for identification of continuous time nonlinear systems. For the improvement of convergent speed and the global optimization in the training of wavelet neural networks, the trust region algorithm is proposed for the training. Then we study the convergence properties about the trust region algorithm. Finally, the simulation results are given to illustrate the efficiency of the method proposed. |