Scheduling strategy based on BP neural network and fuzzy feedback in networked control system

For the performance of networked control system is limited to the network resources and compute resources, the scheduling strategy is the key factor. This paper proposed two level schedule strategy: First, the controller and sensor nodes can be configured as event-time hybrid driven mode to improve the utilization rate. Then, considering the error and error difference response, a BP neural network and fuzzy feedback scheduler that shares communication net is designed with the bandwidth constraints. Two different scheduling algorithms with stochastic delay are compared with respectively. Finally, the results of simulation highlights that proposed scheduling strategy can optimize the performance of control loop and is more flexible than the other algorithms in uncertain running conditions.