| 引用本文: | 李向武，韦 岗.基于小波网络的动态系统辨识方法及应用*[J].控制理论与应用,1998,15(4):494~500.[点击复制] |
| LI Xiangwu and WEI Gang.Dynamical System Identification and Its Applications UsingWavelet Network[J].Control Theory and Technology,1998,15(4):494~500.[点击复制] |
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| 基于小波网络的动态系统辨识方法及应用* |
| Dynamical System Identification and Its Applications UsingWavelet Network |
| 摘要点击 762 全文点击 426 投稿时间：1996-11-05 修订日期：1997-09-17 |
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| DOI编号 |
| 1998,15(4):494-500 |
| 中文关键词 状态空间 小波网络 系统辨识 非参数估计 |
| 英文关键词 state space wavelet network system identification nonparametric estimation |
| 基金项目 |
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| 中文摘要 |
| 本文介绍了一种多输入非线性动态系统辨识算法，基于该算法的非线性辨识系统成功用于局部地区短时暴雨的预报. 在这个系统中我们采用一种小波网络来追踪非线性系统的动态性，用一种基于小波逼近的非参数估计方法用于系统的状态空间模型的辨识中，从实验结果可看出，与传统的神经网络方法相比，该系统在速度、可靠性以及精确度上都有了很大的提高. |
| 英文摘要 |
| In this paper， algorithms for the identification of a nonlinear multi-input dynamical system are developed. These algorithms are successfully used for the applications including a local short term rain storm forecasting. A wavelet network structure is applied to track the dynamics of a nonlinear system and used for i-dentifying a state space model of the system. When comparing with traditional artificial neural network (ANN) approaches， we have shown that this wavelet approach offers significant improvement in terms of learning speed， reliability and accuracy. |