| 基于CPN的模糊控制器系统设计及其应用研究 |
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| 引用本文： | 葛 铭,李 平,孙优贤.基于CPN的模糊控制器系统设计及其应用研究[J].控制理论与应用,1997,14(1):67-72. |
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| 作者姓名： | 葛 铭 李 平 孙优贤 |
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| 作者单位： | 浙江大学工业控制技术研究所工业控制技术国家重点实验室!杭州，310027，浙江大学工业控制技术研究所工业控制技术国家重点实验室!杭州，310027，浙江大学工业控制技术研究所工业控制技术国家重点实验室!杭州，310027 |
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| 摘 要： | 本文给出一种基对于向传播网络ＣＰＮ的模糊控制器设计。该网络经训练后能得到模糊规则并且具有自动学习功能，在控制性能上较普通控制器有所改进。最后给出加压钢前箱系统的应用实例。
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| 关 键 词： | 对向传播网络 模糊控制器 自学习 控制器 |
| 收稿时间： | 5/9/1995 12:00:00 AM |
| 修稿时间： | 2/2/1996 12:00:00 AM |
A Fuzzy Logic Controller Designed Based on CPN and Its Application |
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| GE Ming,LI Ping and SUN Youxian.A Fuzzy Logic Controller Designed Based on CPN and Its Application[J].Control Theory & Applications,1997,14(1):67-72. |
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| Authors: | GE Ming LI Ping and SUN Youxian |
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| Affiliation: | Institute of Industrial Process Control, Zhejiang University |
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| Abstract: | This paper presents a control strategy that enhances fuzzy controller with self-learningcapability for achieving prescribed control objectives with the use of artificial neural network. The neuralnetwork,termed CPN(counter propagation networds),is trained to establish fuzzy associations between the inputand output fuzzy subsets. The fuzzy logic controller based on CPN can refine the fuzzy if-then rules if humanexperts are not all available and it also improves the system property such as the robustness and fault-tolerance. The air cushion headbox system is employed as a test-bed to demonstrate the efffectiveness of theproposed control scheme. |
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| Keywords: | CPN fuzzy logic controller neural network self-learning |
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