Robust neural control for switched systems with unmodeled dynamics and external disturbances

In this paper, a robust neural control problem for switched systems with unmodeled dynamics and external disturbances is addressed. RBF neural networks and multiple Lyapunov functions are employed to design robust neural controller and switching signal. It´s proved that the resulting closed-loop system is asymptotically Lyapunov stable and good satisfactory tracking control performance is obtained. Finally, simulation results verify our theoretical findings and demonstrate the effectiveness of the proposed control method.