A novel nonlinear robust control scheme is proposed for a morphing vehicle with unknown uncertainties and external disturbance.An online adaptive compensation algorithm is designed for approaching the disturbance item, and the parameter updating law is used for providing automatic disturbance rejection ability in real time, which improves the robustness of the system.Then, by adaptively adjusting the weighting parameters of the hidden layer of neural network, the output of the neural network is made to approach the uncertain item.It is proved by using the Lyapunov stabilization theory that the robust controller can make the tracking error asymptotically stable.An online updating law is also designed for parameters of the controller.Simulation results show the effectiveness and feasibility of the approach.