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In this paper, a novel adaptive NN control scheme is proposed for a class of uncertain single-input and single- output(SISO) nonlinear time-delay systems with the lower triangular form. RBF NNs are used to approximate unknown nonlinear functions, then the adaptive NN tracking controller is constructed by combining Lyapunov-Krasovskii functionals and the dynamic surface control(DSC) technique along...
A neural network based robust adaptive control design scheme is developed for a class of nonlinear systems represented by input-output models with an unknown nonlinear function and unknown time delay. By on-line approximating the unknown nonlinear functions with a three layer feedforward neural networks, the proposed approach does not require the unknown parameters to satisfy the linear dependence...
A state feedback stabilization scheme is proposed for a class of strict-feedback stochastic time-delay nonlinear systems. Under assumption that the nonlinear functions of system satisfy linear growth condition, a memoryless linear state feedback controller is designed based on back stepping technique and domination method. By constructing a quartic Lyapunov-Krasoviskii functional, the fourth-moment...
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