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Combined adaptive backstepping-SMC schemes to design both static and dynamical adaptive controllers for uncertain nonlinear systems have been presented. It has been shown that, for the class of nonlinear systems with parametric uncertainties entering linearly in the system dynamics and transformable into FGOCF, adaptive dynamical SMC may be designed via an adaptive input-output linearization procedure, based upon the fundamental ideas of the backstepping algorithm. This control design method is applicable to uncertain nonlinear systems without explicit transformations to parametric-pure or parametric-strict feedback forms. The proposed controlled strategy has been applied to the output tracking control of the average Buck-Boost converter model and it has been shown to be remarkably robust with respect to external stochastic bounded perturbation input signals.