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神经网络自学习模糊控制及其应用
引用本文:金耀初,诸静,蒋静坪.神经网络自学习模糊控制及其应用[J].电工技术学报,1994(4).
作者姓名:金耀初  诸静  蒋静坪
作者单位:浙江大学
摘    要:本文提出了一种新的自学习模糊控制算法。利用改进的pi-sigma神经网络,对模糊控制器的结论参数进行辨识,并不断修正隶属函数,实现了模糊规则的自动更新。这种方法被用于机器人解耦控制,取得了满意的仿真结果。

关 键 词:自学习控制,模糊性理论,机器人,控制

Pi-Sigma Hybrid Neural Netw ork Based Self-Organizing Fuzzy Controller and its Application
Jin Yaochu, Zhu Jing, Jiang Jingping.Pi-Sigma Hybrid Neural Netw ork Based Self-Organizing Fuzzy Controller and its Application[J].Transactions of China Electrotechnical Society,1994(4).
Authors:Jin Yaochu  Zhu Jing  Jiang Jingping
Affiliation:Zhejiang University
Abstract:A novel self-organizing fuzzy controller is proposed in this paper.By use of the modified pi-sigma neural network, the controller is able to identify its consequent parameters and modify the membership functions on line, which makes it possible to update the fuzzy rules automatically. The novel controller is applied to decoupled control for robot manipulators and satisfying simulation results are obtained.
Keywords:Self-organizing fuzzy control Artificial neural network Robot control Nonlinear decoupled control  
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