Abstract: In this paper, a nonlinear generalized predictive adaptive control method based on neural networks and multiple models is proposed for a class of uncertain nonlinear discrete time dynamical systems. This approach is composed of a linear robust generalized predictive adaptive controller, a neural network nonlinear generalized predictive adaptive controller and a switching mechanism. The linear robust generalized predictive adaptive controller can ensure the boundedness of the input and output signals in the closed-loop system and the neural network nonlinear generalized predictive adaptive controller can improve the performance of the system. The purpose of using the switching mechanism is to obtain stability and improved system performance simultaneously. Stability and convergence analysis of the proposed adaptive method is given. Finally, simulation examples are included to demonstrate the effectiveness of the proposed method.