| 基于模糊神经网络的系统辨识 |
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| 引用本文： | 达飞鹏,徐嗣鑫.基于模糊神经网络的系统辨识[J].控制与决策,1997,12(4):377-380. |
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| 作者姓名： | 达飞鹏 徐嗣鑫 |
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| 作者单位： | 东南大学自动化研究所!南京210096 |
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| 摘 要： | 基于模糊神经网络研究系统辨识问题,提出一种具体的模糊神经网络结构和相应算法,设计了开环系统和闭环系统辨识的结构。针对多个不同的对象进行仿真研究,结果表明用模糊神经网络建模较之传统建模方法能力强。
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| 关 键 词： | 模糊控制 模糊神经网络 系统辨识 |
Identification of Systems Using Fuzzy Neural Network |
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| Da Feipeng,Xu Sixin.Identification of Systems Using Fuzzy Neural Network[J].Control and Decision,1997,12(4):377-380. |
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| Authors: | Da Feipeng Xu Sixin |
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| Affiliation: | Southeast University |
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| Abstract: | The paper proposes a FNN (Fuzzy Neural Network) structure and the relevant algorithm. This FNN is used as a tool to identificate sytems' structure. Under the different input signals. the simulations in the open-loop and closed-loop systems were done. Simulation results demonstrate that FNN has good abil-ity on modeling. |
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| Keywords: | fuzzy control fuzzy neural networks system identification |
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