| 复杂工业过程的模糊神经网络自适应控制 |
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| 引用本文： | 王耀南,张昌凡,李孟秋.复杂工业过程的模糊神经网络自适应控制[J].电子测量与仪器学报,2000,14(2):46-51. |
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| 作者姓名： | 王耀南 张昌凡 李孟秋 |
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| 作者单位： | 湖南大学电气与信息工程系,长沙,410082 |
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| 摘 要： | 本文针对复杂工业过程控制系统的特点 ,提出一种模糊神经网络自适应控制系统 ,该系统由两个模糊神经网络组成 ,一个完成Fuzzy学习控制 ,另一个完成未知被控对象模型的建模。仿真和复杂工业回转窑炉温控实验结果表明 ,控制系统有良好的性能
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| 关 键 词： | 复杂系统 模糊神经网络 学习算法 智能控制 |
| 修稿时间： | 1999-05-01 |
An Adaptive Control Using Fuzzy Neural Networks for Complex Industrial Processes |
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| Wang Yaonan,Zhang Changfan,Li Mengqiu.An Adaptive Control Using Fuzzy Neural Networks for Complex Industrial Processes[J].Journal of Electronic Measurement and Instrument,2000,14(2):46-51. |
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| Authors: | Wang Yaonan Zhang Changfan Li Mengqiu |
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| Affiliation: | Wang Yaonan
,Zhang Changfan
,Li Mengqiu
(Department of Electrical Engineering, Hunan University, Changsha 410082) |
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| Abstract: | This paper proposed a new adaptive control system using fuzzy neural networks for complex industrial processes.This control system consists of a fuzzy neural networks controller and model fuzzy network.The results of simulation as well as temperature control for industrial rotary kiln furnace were performed to demonstrate the feasibility and affectiveness of the proposed control. |
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| Keywords: | Complex system Fuzzy neural networks Learning algorithm Intelligent control |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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