Abstract: Neural networks and PD feedback controllers for adaptive tracking in nonlinear systems are presented. The PD feedback controller is used as a general feedback controller to guarantee global stability,and its output is fed to the neural network as the reference signal. The asymptotic set-point tracking of the system can be guaranteed by selecting the appropriate initial weights and the updating rate of the weights of the networks.