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Using the technique of neural network parameterization and the backsteeping method, a novel adaptive neural network control scheme is proposed for a class of stochastic strict-feedback nonlinear systems. Compared with the existing literature, the proposed approach contains only one adaptive parameter that needs to be updated online. By Lyapunov method, it is shown that all signals in the closed-loop...