To investigate the adaptive neural network tracting control problem of a class of uncertain nonlinear pure-feedback systems with output constraints,an adaptive controller of the systems was provided by using the ability of Neural Network approximation and the adaptive backstepping techniques. The controller was designed by the barrier Lyapunov function and the implicit function theorem. The results show that the developed control scheme guarantees semiglobally uniform ultimate boundedness of all the signals...
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