神经网络自适应模糊控制器设计与应用

Application and Design of Adaptive Fuzzy Controller Based on Neural Networks

把神经网与模糊系统相结合，提出一种基于神经网络的自适应模糊控制器（ＮＡＦＣ）．这种控制系统由模糊神经网络控制器（ＦＮＮＣ）和模型网络（ＭＮＮ）组成，具有自适应学习能力．仿真结果以及应用于温度控制系统中，其鲁棒性明显优于一般Ｆｕｚｚｙ控制．

Integrating neural network with fuzzy system,an adaptive fuzzy controller based on neural networks(NAFC) has.been presented.This control system conists of a fuzzy neural controller(FNNC)and modeling neural networks(MNN),and has the ability of adaptiye learning. Simulation and temperature control results show that its robustness is superior to that of the fuzzy control.