| 基于遗传算法的模糊神经网络控制器设计及其稳定性分析 |
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| 引用本文： | 张其光,王执铨. 基于遗传算法的模糊神经网络控制器设计及其稳定性分析[J]. 控制理论与应用, 1999, 16(5): 767-769 |
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| 作者姓名： | 张其光 王执铨 |
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| 作者单位： | [1]上海贝尔有限公司信息技术事业部 [2]南京理工大学自动控制系 |
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| 摘 要： | 首先根据联结主义思想模糊控制器设计问题转化为对模糊神经网络参数的设计和优化，然后通过遗传算法对模糊神经网络的参数进行集中优化，得到了被控对象的一个最优或次优的控制器－模糊神经控制器，稳定性分析为此设计理论依据。
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| 关 键 词： | 模糊控制 神经网络 遗传算法 稳定性 控制器 |
| 收稿时间： | 1997-05-04 |
| 修稿时间： | 1998-05-06 |
Design of a Kind of Fuzzy Neural Network Controllers Based on Genetic Algorithm and Analysis of Its Stability |
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| Zhang Qiguang,Wang Zhiquan. Design of a Kind of Fuzzy Neural Network Controllers Based on Genetic Algorithm and Analysis of Its Stability[J]. Control Theory & Applications, 1999, 16(5): 767-769 |
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| Authors: | Zhang Qiguang Wang Zhiquan |
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| Abstract: | Based on the thought of connection,firstly the problem of design of fuzzy controller is changed into that of design and optimization of fuzzy neural networks in this paper.Secondly,an optimal or suboptimal fuzzy controller of the plant is obtained by comprehensivelly optimizing the parameters of fuzzy neural networks using genetic algorithms.Analysis of stability provides theoretical support of the design.Finally,a simulation result verifies that it has a better performance than normal fuzzy controller. |
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| Keywords: | fuzzy control fuzzy neural networks genetic algorithms stability |
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