| 引用本文: | 王忠勇,张端金,方 浩,蔡远利.一种基于小波网络的自校正控制方法[J].控制理论与应用,2001,18(2):270~272.[点击复制] |
| WANG Zhong-yong,ZHANG Duan-jin,FANG Hao,CAI Yuan-li.An Approach to Self Tuning Control Based on Wavelet Network[J].Control Theory and Technology,2001,18(2):270~272.[点击复制] |
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| 一种基于小波网络的自校正控制方法 |
| An Approach to Self Tuning Control Based on Wavelet Network |
| 摘要点击 1571 全文点击 1390 投稿时间：1999-03-29 修订日期：2000-02-21 |
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| DOI编号 10.7641/j.issn.1000-8152.2001.2.026 |
| 2001,18(2):270-272 |
| 中文关键词 小波网络 系统辨识 自校正控制 学习算法 |
| 英文关键词 wavelet network system identification self tuning control learning algorithm |
| 基金项目 河南省自然科学基金(994060300)资助课题. |
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| 中文摘要 |
| 依据小波的非线性逼近能力和神经网络的自学习特性, 提出了一种基于小波神经网络模型的自校正控制算法. 文中系统由两个小波网络组成, 分别实现未知对象的建模与控制. 仿真结果表明所提控制方法可行, 效果较好. |
| 英文摘要 |
| Based on the learning characteristic of neural network and the function approximation ability of the wavelet,a new self tuning control algorithm is presented. The controller consists of a wavelet control network and a wavelet identification network. Simulation results show that the wavelet network approach can be successfully applied in control systems. |