An auto-adaptive PID control method based on RBF neural network

Aimed at the difficulty of nonlinear system control, take advantage of the high exactitude approaching ability of RBF neural network to nonlinear system, a model identification method based on neural network is formed. At the same time, use the single-neuron Net to construct an auto-adaptive PID controller. Combine them, a new control method appear. The result of the simulation indicated that the method has a concise algorithm and high accuracy.