Synthesizing Fuzzy Based Model Predictive Controller

The article presents a Fuzzy structure for a Model Predictive Control (MPC) system. MPC theorem has earlier been incorporated with fuzzy models. Such an integration provides controller design methods for an MPC control system. The paper concentrates on aspects of fuzzy based MPC for multivariable systems. Mathematical formulation of linearized MPC is utilized to introduce the concept of fuzzy based MPC scheme, then fuzzy MPC is constructed based on a modeled pH reactor. Results have shown that although the plant was nonlinear in characteristics, but still the employed Neuro-fuzzy system was able to model the plant into three different linear regions.