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This paper focus on adaptive output feedback control of a class of underactuated systems using neural networks. Through Lyapunov-like stability analysis, adaptive laws are obtained to drive neural networkpsilas free parameter adjustment and at the same time assure uniformly ultimate boundedness of the error signals. The approach permits to enhance the performance of an available linear controller...
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