Abstract: A multi-model-based predictive control (MMPC) strategy dealing with nonlinear model-based predictive control (NMPC) for MIMO systems is developed in this paper. Firstly a multimodel identification method is given. Using fuzzy satisfactory clustering algorithm presented in this paper, the complex nonlinear system can be quickly divided into multiple fuzzy parts. A global model can be obtained by some transformation of the obtained multiple linear models. An MMPC algorithm is therefore designed for the global MIMO systems with system performance analysis. Taking a pH neutralization control system as simulation example, the simulation results verify the effectiveness of MMPC on complex nonlinear systems.