Adaptive RBF NN-based controller design for a class of time-delay nonlinear systems

In this paper, an adaptive neural controller for a class of strict-feedback time-delay nonlinear system with unknown time-delay is proposed. Based on a RBF neural network online approximation model, a state feedback adaptive controller is obtained by constructing a novel Lyapunov-Krasovskii functional. It's shown that the proposed method guarantees the semiglobal boundedness of all signals in the adaptive closed-loop systems. A simulation example is provided to illustrate the validity of the proposed controller.