The strategy of quasi-sliding mode variable structure control with RBF neural network acting on the large time-delay system

In this paper, a quasi-sliding mode variable structure control algorithm is combined with RBF neural network. So, the strong robustness of the quasi-sliding mode variable structure algorithm and the property of adaptive learning supplying from RBF neural network algorithm are combined. The algorithm is subsequent inducted into the large time-delay system. Simulation results show that the strategy is feasible and effective under the certain conditions.