Neuroadaptive robust control of automatic train operation subject to actuator saturation

In this paper, neuroadaptive robust control problem for the automatic train operation (ATO) system under actuator saturation is considered. The saturation is caused by constraints from serving motors. A neuroadaptive robust control scheme is proposed. To cope with the actuator saturation, another neuroad-aptive robust control scheme is proposed for the ATO system, by explicitly considering the actuator saturation nonlinearity other than unknown system parameters, which is proved capable of stabilizing the closed-loop system. The effectiveness of the proposed control schemes are verified via numerical simulations.