ADAPTIVE CONTROLLER DESIGN FOR A CLASS OF NONLINEAR TIME-DELAY SYSTEMS BASED ON RBF NEURAL NETWORKS
基于RBF神经网络的一类非线性时滞系统自适应控制器设计

An adaptive neural network controller is presented for a class of strict-feedback nonlinear time-delay systems with unknown nonlinear functions. A radial basis function neural network is chosen to approximate the unknown nonlinear functions in this paper. The developed control scheme is able to guarantee global uniform ultimate boundedness of all the signals in the closed-loop systems.The tracking error is proven to converge to a small compact set. A simulation example illustrates the effectiveness of the proposed approach.