Abstarct: In this study, an indirect adaptive backstepping method for electro-hydraulic servo position control system recommended that On the one hand allows us to benefit from robust backstepping method and on the other hand, Considers changes in parameters. The advantage employing an indirect adaptive here is that while ensuring the convergence of physical parameters to actual values at the same time also guarantes the system stability . The main concern here is the problem of identifying and different system parameters with practical conditions .First, identify the parameters with RLS method and relatively we find accurate results and track the desired position and convergence parameters to actual values correctly . The following identification parameters method(RLS) is replaced by the neural network approach and the results are compared with each other. In fact, the question of electrohydraulic servo position control system baxsed on Lyapunov theory and nonlinear backstepping control is performed with two different methods of identification . first method is RLS and the second method is to identify the neural network . In both cases, the results are very good and well done to track the desired position and convergence parameters.