| 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.[点击复制] |
| GE Ming， LI Ping and SUN Youxian.A Fuzzy Logic Controller Designed Based on CPN and Its Application[J].Control Theory and Technology,1997,14(1):67~72.[点击复制] |
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| 基于CPN的模糊控制器系统设计及其应用研究 |
| A Fuzzy Logic Controller Designed Based on CPN and Its Application |
| 摘要点击 880 全文点击 414 投稿时间：1995-05-09 修订日期：1996-02-02 |
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| DOI编号 |
| 1997,14(1):67-72 |
| 中文关键词 对向传播网络 模糊控制器 神经网络 自学习 |
| 英文关键词 CPN fuzzy logic controller neural network self-learning |
| 基金项目 |
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| 中文摘要 |
| 本文给出一种基于对向传播网络CPN（counter propagation networks）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，在控制性能上较普遍控制器有所改进，最后给出加压网前箱系统的应用实例。 |
| 英文摘要 |
| This paper presents a control strategy that enhances fuzzy controller with self-learning capability for achieving prescribed control objectives with the use of artificial neural network. The neural network, termed CPN (counter propagation networds), is trained to establish fuzzy associations between the input and output fuzzy subsets. The fuzzy logic controller based on CPN can refine the fuzzy if-then rules if human experts 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 the proposed control scheme. |