改进型B样条模糊神经网络

丛  爽; 宋瑞祥; 钱  镇; 魏衡华

引用本文:	丛爽,宋瑞祥,钱镇,魏衡华.改进型B样条模糊神经网络[J].控制理论与应用,2001,18(2):277~280.[点击复制]
	CONG Shuang,SONG Rui-xiang,QIAN Zhen,WEI Heng-hua.Improved B-Spline Fuzzy Neural Networks[J].Control Theory and Technology,2001,18(2):277~280.[点击复制]

改进型B样条模糊神经网络

Improved B-Spline Fuzzy Neural Networks

摘要点击 1924 全文点击 2041 投稿时间：1999-01-19 修订日期：2000-06-07

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DOI编号 10.7641/j.issn.1000-8152.2001.2.028

2001,18(2):277-280

中文关键词样条函数模糊神经网络自适应控制

英文关键词 spline function fuzzy neural network adaptive control

基金项目安徽省自然科学基金(97413005)资助项目.

作者	单位
丛爽	中国科学技术大学自动化系, 合肥 230027
宋瑞祥	中国科学技术大学自动化系, 合肥 230027
钱镇	中国科学技术大学自动化系, 合肥 230027
魏衡华	中国科学技术大学自动化系, 合肥 230027

中文摘要

提出了一种改进型B样条模糊神经网络, 用以增加B样条函数在作为模糊神经网络控制器实际应用中的抗干扰能力. 通过指出常规B样条模糊隶属函数构造中存在的不足, 提出了针对性的改进措施, 从而既满足了B样条本身的性质, 又从理论设计上避免了使系统不稳定的因素. 在实际电机速度控制系统的对比实验中证明了所提改进方法的有效性和实用性. 文中给出了改进型B样条网络的设计过程以及实验结果.

英文摘要

The paper proposes an improved B spline fuzzy neural network, which may be used to increase the ability of resisting disturbances when it is as a fuzzy neural network control in the actual applications. The paper proposes the effective ways in order to overcome the shortages in the construction of B spline fuzzy membership functions, which both satisfactory the properties of B spline itself, and also avoid factors of system instability from the theory design point. The actual motor velocity control system experiment has verified the effectiveness and the practicality. The paper gives the design procedure and the experiment results of the improved B spline networks.