| 动态系统的自适应模糊神经网络控制 |
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| 引用本文： | 赵保军,韩月秋,毛二可.动态系统的自适应模糊神经网络控制[J].北京理工大学学报(英文版),1999,8(2):196-200. |
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| 作者姓名： | 赵保军 韩月秋 毛二可 |
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| 作者单位： | 北京理工大学电子工程系,北京,100081 |
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| 摘 要： | Aim To build an adaptive fuzzy neural controller and simulate
it. Methods Fuzzy logic and back propagation(BP) algorithm are combined
to utilize their advantages while avoiding the disadvantages. Results and
Conclusion Simulation results of the third-order plant with disturbances and dead
times show the validity of the presented controller. The presented controller can control
cases that preceding controllers were unable to control.
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| 关 键 词： | 误差反传 模糊逻辑 学习因子 非线性时变参数 |
| 收稿时间： | 1998/11/10 0:00:00 |
Adaptive Fuzzy Neural Control of Dynamic System |
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| Zhao Baojun,Han Yueqiu and Mao Erke.Adaptive Fuzzy Neural Control of Dynamic System[J].Journal of Beijing Institute of Technology,1999,8(2):196-200. |
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| Authors: | Zhao Baojun Han Yueqiu and Mao Erke |
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| Affiliation: | Department of Electronics Engineering, Beijing Institute of Technology, Beijing 100081;Department of Electronics Engineering, Beijing Institute of Technology, Beijing 100081;Department of Electronics Engineering, Beijing Institute of Technology, Beijing 100081 |
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| Abstract: | Aim To build an adaptive fuzzy neural controller and simulate it. Methods\ Fuzzy logic and back propagation(BP) algorithm are combined to utilize their advantages while avoiding the disadvantages. Results and Conclusion\ Simulation results of the third order plant with disturbances and dead times show the validity of the presented controller. The presented controller can control cases that preceding controllers were unable to control. |
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| Keywords: | error back propagation fuzzy logic learning rate nonlinear time varying parameter |
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