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基于BP神经网络的模型参考自适应控制
引用本文:沈瑛,张翠芳.基于BP神经网络的模型参考自适应控制[J].西南交通大学学报,2001,36(5):553-556.
作者姓名:沈瑛  张翠芳
作者单位:西南交通大学计算机与通信工程学院
摘    要:基于BP神经网络的误差反向传播机制,探讨了建立在BP神经网络基础上的模型参考自适应控制方法。该方法用2个BP神经网络分别作辨识器和控制器,其中辨识器兼作间接传递误差的通道,从而解决了控制器权值的修正问题。仿真结果表明, 经过学习控制结构具有较好的有效性。

关 键 词:自适应控制  神经网络  模型参考  误差反向传播机制  辨识器  控制器
文章编号:0258-2724(2001)05-0553-04

Model Reference Adaptive Control Based on BP Neural Networks
SHEN Ying,ZHANG Cui fang.Model Reference Adaptive Control Based on BP Neural Networks[J].Journal of Southwest Jiaotong University,2001,36(5):553-556.
Authors:SHEN Ying  ZHANG Cui fang
Abstract:A scheme of model reference adaptive control based on BP neural network is presented in this paper. Two BP neural networks are used to identify and control unknown plants. Since a BP neural network has the properties of forward propagation of message and backward propagation of errors, the parameters of a network can be modified to get proper values. The BP identifier is also used as a channel for error propagation. Simulation results show the effectiveness of the proposed scheme.
Keywords:adaptive control  simulation  BP neural networks  model reference
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