Robust direct adaptive control based on dynamic neural networks

In this paper a direct adaptive control scheme for unknown affine nonlinear systems using dynamical neural networks (DNN) is presented. A stable weight learning algorithm is determined using Lyapunov theory, which is allowed to guarantee the stability of the resulting controller. The robust stability of the closed-loop system is proved.