关键词: 预测控制 , 神经网络 , 差分算法

Abstract: A predictive control method based on differential evolution was put forward in connection with changing parameters nonlinear model. By using neural network and accord as input and output data of the system, a predictive model was established. And then differential evolution algorithm was used to do rolling optimization and improve system performance accordingly. At last, GA and DE were used respectively to do predictive simulation to realize the rolling optimization and compare the two results. The two simulation results show that the rolling optimization of predictive control based on DE is better than that based on GA on the whole.

Key words: Predictive control , Neural network , Differential evolution algorithm