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In this paper, a control approach is proposed for stabilization of nonlinear systems in the presence of both matched and unmatched uncertainties. By combining the time scale separation and backstepping, first, high-gain filters are designed to estimate the uncertainties, and then, a fast dynamical equation is derived which the solution is found to approximate the ideal virtual/actual control inputs. In this approach the problem of “explosion of complexity” caused by the traditional backstepping technique is eliminated. Finally, the simulation results are provided to show the effectiveness of the proposed approach.
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