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基于RBF网络的Takagi-Sugeno模糊控制器参数获取
The Parameters Acquisition of Takagi - Sugeno Fuzzy Controller Based on RBFN
【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。
【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 .
- 【文献出处】 电气传动自动化 ,Electrical Drive Automation , 编辑部邮箱 ,1998年03期
- 【分类号】TP273.4
- 【下载频次】29