基于神经网络的自适应模糊控制器

THE ADAPTIVE FUZZY CONTROLLER BASED ON NEURAL NETWORK

  • 摘要: 本文提出了一种基于神经网络的自适应模糊控制器.控制器为5层前向结构,其输入和输出均为数值量.根据给定的训练数据,通过学习算法,能够实现前件参数和后件参数的辨识,提取控制规则,最后通过仿其实验证明了这种方法的有效性.

     

    Abstract: An adaptive Fuzzy controller based on neural network is proposed in this paper. The controller which input and output is digital is composed of five layers forward structure. The premise parameters,consequent parameters and control rules can be learned from training data through learning algorithm. At last the effectiveness of this algorithm is tested by simulation.

     

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