A multi-objective optimization based dynamic fuzzy recurrent neural network（FRNN）modeling method was designed to control the pH neutralization process by generalized predictive controller（GPC）. To improve the FRNN fitting accuracy and simplify the network structure，a multi-objective optimization algorithm was proposed to optimize fuzzy rule numbers，center points and widths of Gaussian membership functions. The dynamic FRNN model was then obtained to precisely fit the pH neutralization process. Based on the dynamic model，the local linear model could be obtained at every control period. The complex non-linear optimization problem of GPC was changed into a simple quadratic linear programming problem. Simulation results showed the feasibility of the proposed method.