Abstract: For Hammerstein-Wiener nonlinear systems with input and output constraints, a nonlinear predictive control algorithm based on T-S fuzzy model was proposed. A Lyapunov function is used to analyze system stability. By establishing the T-S fuzzy model, the nonlinear optimization problem in predictive control design is transformed into a corresponding linear optimization problem. By designing offline the state feedback control law and online implementation of the appropriate feedback control law, online computational efficiency is greatly improved. Simulation trials indicate the effectiveness of the proposed algorithm.