| 模糊神经网络模型参考自适应控制 |
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| 引用本文： | 王雷,姚灵石.模糊神经网络模型参考自适应控制[J].燕山大学学报,1998,22(4):341-344. |
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| 作者姓名： | 王雷 姚灵石 |
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| 作者单位： | 燕山大学电气工程学院!秦皇岛，066004，燕山大学电气工程学院!秦皇岛，066004，燕山大学电气工程学院!秦皇岛，066004 |
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| 摘 要： | 给出了一种基于模糊神经网络的模型参考自适应控制方案。首先，构造了一种运用递推预报误差（ＲＰＥ）算法的多层前向神经网络，并用其对被控对象建模，然后，又构造了一种模糊神经网络控制器（ＦＮＮＣ）。从而为一类难以建立精确数学模型的非线性被控对象提供了一种新的自适应控制方法，信息结果验证了其有效性。
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| 关 键 词： | RPE算法 模糊神经网络 模型参考 自适应控制 |
A Model Reference Adaptive Control Based on Fuzzy Neural Network |
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| Wang Lei,Yao Lingshi,Wu Shichang.A Model Reference Adaptive Control Based on Fuzzy Neural Network[J].Journal of Yanshan University,1998,22(4):341-344. |
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| Authors: | Wang Lei Yao Lingshi Wu Shichang |
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| Abstract: | This paper presents a model reference adaptive control based on fuzzy neural network,First,we design a multilayer feedforward neural network using recursive prediction error (RPE)algorithms and use it to identify the model of the controled object,Then,we design a fuzzy neural network controller (FNNC),So we supply a kind of new adaptive method for a sort of nonlinear controlled object for which it is difficult to build the precisemath model,The simulation verifies its validity, |
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| Keywords: | RPE algrithms fuzzy neural network membership model reference adaptive control |
| 本文献已被 CNKI 维普 等数据库收录！ |
