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基于RBF网络的Takagi—Sugeno模糊控制器参数获取
引用本文:经宁,潘俊民.基于RBF网络的Takagi—Sugeno模糊控制器参数获取[J].电气传动自动化,1998,20(3):42-45.
作者姓名:经宁  潘俊民
作者单位:上海交通大学!200240
摘    要:本文分析了在一定条件下RBF网络与简化的Takagi-Sugeno模糊推理规则的函数等效性。并在此基础上提出了使用RBF网络在实时控制过程中获取模糊控制器参数的方法。仿真结果证明了该方法的有效性。

关 键 词:RBF网络  模糊推理  规则  模糊控制器

The Parameters Acquisition of Takagi - Sugeno Fuzzy Controller Based on RBFN
Jlng Ning,Pan Junmin Gao Ainging.The Parameters Acquisition of Takagi - Sugeno Fuzzy Controller Based on RBFN[J].Electrical Drive Automation,1998,20(3):42-45.
Authors:Jlng Ning  Pan Junmin Gao Ainging
Affiliation:Shanghai Jiaotong University
Abstract:This paper shows the function equivalence under certain conditions between RBFN and fuzzy inference rules proposed by Takagi and Sugeno . Based on the above conclusion a method is proposed that RBFN works as controller to acquire fuzzy controller parameters during online control process . The simulation results prove the validity .
Keywords:RBF  network  fuzzy inference rule  fuzzy controler
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