Abstract: For the non-linear and parameter uncertainties of the resonant frequency controlling system of resonant machine, the adaptive back-stepping control method combined with the dynamic recurrent fuzzy neural network(DRFNN) is studied. A mathematic model of the resonant frequency controlling system is presented firstly,and the control law is designed based on adaptive back-stepping method with regardless of the parameter uncertainties.Next,the parameter uncertainties of the electro-hydraulic proportional system which affect the frequency controlling performance are defined as items to be estimated using DRFNN,the parameter adjustment law is given based on DRFNN method,and the convergence of output tracking is proved through Lyapunov function.Finally,the results from simulated experiment and test on vehicle show that this method has a better resonant frequency controlling performance for the parameter uncertainties and the load disturbance.