Abstract: The robust direct adaptive control for a class of unknown multivariable nonlinear system with unmodeled dynamics based on dynamical neural networks is presented. A stable weight learning algorithm, which doesn't require a priori knowledge of the norm for ideal weight matrices but can get stable controller, is determined using Lyapunov theory.Simulation results show the control algorithm is efficient.