Abstract:A fuzzy neural network was proposed for robotic tracking control. This fuzzy neural network used the Bspline basis function as membership function whose shape can be adjusted on line. The proposed network has better learning and adaptive ability. The simulation results showed that the proposed network can be applied to robotic tracking very well with good performance.