APPLICATION OF NEURAL NETWORK ADAPTIVE FUZZY CONTROL IN TEMPERATURE CONTROL SYSTEM

Integrating neural network with fuzzy system, an adaptive fuzzy controller using neural network is proposed in this paper. This control system consists of a fuzzy neural controller (FNC) and model network(M N N). Aweight-learning a lgorithm is presented using the gradient descent method with avariable-slopes, which is useful to accelerate learning and improve convergence. Simulation and temperature control results show that the proposed controller has good controlper formance.