Adaptive Neural Control for a Class of Perturbed Time-delay Nonlinear Systems

Abstract

In this paper, an adaptive neural control for a class of time-delay nonlinear systems with perturbed is posed, Based on radius basis function(RBF)neural networks, The radius basis function (RBF) neural networks is employed to estimate the unknown continuous functions. It is shown that the proposed method guarantees the semi-globally uniformly ultimately bounded ness of all signals in the adaptive closed-loop systems. Simulation results are provided to illustrate the performance of the proposed approach.