| 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.[点击复制] |
| 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 and Technology,1999,16(5):767~769.[点击复制] |
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| 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 |
| Design of a Kind of Fuzzy Neural Network Controllers Based on Genetic Algorithm and Analysis of Its Stability |
| 摘要点击 898 全文点击 415 投稿时间：1997-05-04 修订日期：1998-05-06 |
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| DOI编号 |
| 1999,16(5):767-769 |
| 中文关键词 模糊控制 神经网络 遗传算法 稳定性 |
| 英文关键词 fuzzy control fuzzy neural networks genetic algorithms stability |
| 基金项目 |
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| 中文摘要 |
| 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提供了理论依据，仿真实例证实了其性能较常规模糊控制器优越． |
| 英文摘要 |
| Based on the thought of connection,firstly the problem of design of fuzzy controller is changed into that of de-sign 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 controUer． |