Design of adaptive fuzzy neural networks controller and its application

This paper combines adaptive control with fuzzy neural networks, proposes an implement method of adaptive fuzzy-neural networks controller used in complex industrial processes. This control system consists of a fuzzy neural controller (FNNC) and modeling neural networks (MNN), and has the ability of adaptive learning. The learning rate, expressing ability and control precision of the fuzzy neural networks are improved by using new algorithm for the membership functions layer disposal The effectiveness of the proposed scheme is proved by simulation and the practice of complex industrial heater temperature control system.