Sliding Mode Control of Nonlinear Systems With Input Distribution Uncertainties

In this paper, a sliding mode control design method is developed for class of fully nonlinear systems in generalized regular form, where both input distribution uncertainty and system uncertainties are considered. Based on the novel surface designed uniform ultimate stability corresponding dynamics analyzed. Then, under assumption that bounded by known functions states, controller formulated to ensure dynamical reaches finite time even presence uncertainties. Further, case with unknown bound parameterized an adaptive drive maintain motion thereafter. The applied High Incidence Research Model (HIRM) aircraft model. Simulation results demonstrate methods effective.