Robust Adaptive Neural Network Control for Nonlinear Time-Delay Systems

Abstract

This paper presents a robust adaptive neural network control scheme for a class of strict-feedback nonlinear time-delay systems, with both unknown nonlinearities and uncertain disturbances. Unknown smooth function vectors and unknown time-delay functions are approximated by two neural networks, respectively, such that the requirement on the unknown time-delay functions is relaxed. The uncertain disturbances are solved by nonlinear damping technique. In addition, by theoretical analysis, closed loop signals is proved to be semi-globally uniformly ultimately bounded, and the output of the system converges to a small neighborhood of the desired trajectory. Finally, the feasibility is investigated by a simulation example.