Applied research of neural network internal model control in nonlinear time-delay system
神经网络内模控制在非线性时滞系统中的应用研究

According to the common time-lag in industry, an internal model control method and neural control principle effectively combined in this pape, using an improved RBF neural network to be identified for controlled object model and controller adaptively, Based on laboratory electric heating which is a typical first-order lagging object, simulation experiments show that the proposed method has good control characteristic, when system interference or an object parameter changing because of circumstances, the system still has good adaptability and robust stability.