Fuzzy Model Predictive Control contrived for Type-2 Large-Scale Process Based On Hierarchical Scheme

Here, the predictive control algorithm has planned for a type-2 large-scale process based on hierarchical scheme. The useful large-scale systems are mostly a type of nonlinear systems, which are large in scope and it is usually hard task to obtain the dynamic of the system. Since years ago, one way to deal with such systems has been modeling them in the form of fuzzy and decomposing into some subsystem to control them in decentralized. The interval type-2 (IT2) fuzzy Takagi-Sugeno (T-S) is chosen to modeling the dynamic of the large-scale system because of the fact that it is robust to uncertainties of modeling. One of the most prevalent and handy controller is model predictive control (MPC), which has been applied since years ago. Resorting to the fact that model predictive control stems from a cost function, thereby, the hierarchical scheme has used for optimization problem. Finally, an instance studied to illustrate the proposed algorithm.