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.