Abstract: To realize the function of the automatic control used in high speed trains, a nonlinear brake model is built that reflects the train longitudinal dynamics and the operational principles of the brake system. A nonlinear model is transformed into a T-S fuzzy model according to the running speed of the train to handle the strong coupling, the strong nonlinearity, and the uncertainty of the large-scale system. Then we design a sliding mode stop controller based on adaptive fuzzy control schemes. The presented algorithm designs an adaptive fuzzy system, which approximates the upper bound of the interconnected terms and the uncertain signals within the model, elimnating the impact of interacting forces between the carriages and the running resistance, and making the trains track the ideal stop curves. The stability of this closed-loop system and the convergence of tracking errors is proved using Lyapunov methods. Simulation results confirm the effectiveness of the proposed sliding mode controller.