| 引用本文: | 濮卫兴，陈来九.用B样条神经网络设计自适应模糊控制器*[J].控制理论与应用,1996,13(4):448~454.[点击复制] |
| PU Weixing and CHEN Laijiu.Designing Adaptive Fuzzy Controllers Bbased on B-Spline Neural Networks[J].Control Theory and Technology,1996,13(4):448~454.[点击复制] |
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| 用B样条神经网络设计自适应模糊控制器* |
| Designing Adaptive Fuzzy Controllers Bbased on B-Spline Neural Networks |
| 摘要点击 1004 全文点击 385 投稿时间：1994-12-20 修订日期：1995-12-26 |
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| DOI编号 |
| 1996,13(4):448-454 |
| 中文关键词 Ｂ样条神经网络 自适应模糊控制器 训练算法 |
| 英文关键词 B-spline neural network adaptive fuzzy controller training Algorithm |
| 基金项目 |
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| 中文摘要 |
| 本文提出一种可用于设计自适应模糊控制器的模化Ｂ样条神经网络，并给出了合适的训练算法.由于这种网络在每次训练时仅需对少量权重进行调整，因此构成的模糊控制器学习速率快，可应用于过程控制中.本文最后以电厂中过热汽温的控制为例，说明本文的设计方法是有效的. |
| 英文摘要 |
| A kind of fuzzified B-spline neural network(BSNN）which can be applied to the design of adaptive fuzzy controllers is proposed in this paper，and a suitable training algorithm is also offered.Because there are only a few weights of the network should be adjusted during each training period，the designed fuzzy controller have fast learning rate and can be employed for process control practice.A simulating example of temperature control in power plant shows that the proposed method is effective. |