An adaptive backstepping control method on electro-hydraulic, loading simulator is investigated. For nonlinear math model of loading simulator, used backstepping method and designed GCMAC neural network to estimate the unknown uncertainties, acquired control Lyapunov functions(CLFs). Based on Lyapunov stability theory, designed robust adaptive controller and GCMAC neural network weights turn laws, which guarantees the output tracking error converging to zero while the system is stabilized. The simulation results illustrate that the effectiveness of the control method.