Robust Adaptive Control Based on Neural Network for a Class of Uncertain Nonlinear Systems

It is a critical problem in the neural network adaptive control system to attenuate the influence of external disturbance or unmodeled dynamics and improve the robustness. In this paper, a novel robust adaptive control based on neural network for unknown nonlinear dynamical systems with bounded disturbances or unmodeled dynamics was proposed. It was realized by using adaptive forecasting and the recursive forgetting factor least square method, also the stability of system was guaranteed by a robust controller. The validity of this control strategy was demonstrated via simulation results