关键词: 网络化控制系统, 前向通道时延, 预测, 自回归滑动平均模型（ARMA）

Abstract: The inherent network time delay in networked control system will reduce the performance of system and even lead to instability. Network time delay mainly includes forward time delay and backward time delay. Considering that forward time delay has not occurred when controller designing the control law, this paper uses Auto-Regressive and Moving Average model（ARMA） to make forward time delay prediction and compares it with the prediction effect of Radial Basis Function（RBF） neural network, the validity and superiority of the method has been demonstrated.

Key words: networked control system, forward channel time delay, prediction, Auto-Regressive and Moving Average model（ARMA）