Abstarct: Ideal feedback linearization is defined for the case when the system parameters are known. While with uncertainity, for example, parametric uncertainity and external disturbances, feedback linearization is not an ideal method for nonlinear system control. Sliding feedback linearization has been suggested to eliminate parametric uncertainity and external disturbances which can't be eliminated in the case of ideal feedback linearization. Control algorithm has been designed in such a way that it can be used for feedback linearization technique and sliding mode control simultaneously. In fact, in this method, gain of feedback is determined by sliding control law. Simulation results show that the efficiency of this method in design of robust control for minimum phase input-output linearizable system in presence of uncertainity and disturbances.