In order to study the effects of time-varied uncertainty of the sampling period on control performance and network performance in the networked control system,an intelligent dynamic scheduling strategy was proposed based on feedback control and prediction mechanism.In this strategy, network resources utilization and deadline miss rate, and IAE were used as feedback control scheduling to schedule messages. BP neural network was used to predict the network resource utilization and data packet execution time to adjust the sampling period and improve the network performance. The simulation results showed that the scheduling algorithm not only met the control performance, but also improved the utilization of network resources.