Networked learning control based on Thrice Spline predictive algorithm and Neural Network

The propagation delay in networks has a great adverse effect on control based on networked learning. The composite control based on Thrice Spline predictive model and Neural Network adjustment on line is proposed, and the control simulation is put up for complex, time variety, nonlinear controlled object in FieldBus Smart Node. The simulation result shows that the adverse effect, which is caused by the network delay on the complex controlled object, can be better overcome, and good rapidity and stability can be achieved by adopting composite control strategy.