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孙炜

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期刊论文

Using Recurrent Fuzzy Wavelet Neural Network to Control AC Servo System

孙炜Yan Tang Wei Sun Yaonan Wang and Xiaohua Zhai

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摘要/描述

A kind of recurrent fuzzy wavelet neural network (RFWNN) is constructed by using recurrent wavelet neural network (RWNN) to realize fuzzy inference. In the network, temporal relations are embedded in the network by adding feedback connections on the first layer of the network, and wavelet basis function is used as fuzzy membership function. An adaptive control scheme based on RFWNN is proposed, in which, two RFWNN are used to identify and control plant respectively. The proposed adaptive control scheme is applied on AC servo control problem, and simulation results are given.

【免责声明】以下全部内容由[孙炜]上传于[2010年02月01日 18时39分12秒],版权归原创者所有。本文仅代表作者本人观点,与本网站无关。本网站对文中陈述、观点判断保持中立,不对所包含内容的准确性、可靠性或完整性提供任何明示或暗示的保证。请读者仅作参考,并请自行承担全部责任。

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