MPC of Hammerstein model with evolving fuzzy

This paper discusses the comparatively new method for the identification of Hammerstein model based on evolving fuzzy model (EFM), EFM is a data driven modelling strategy for the identification of complex nonlinear system with changing plant dynamics. Evolving fuzzy modelling (EFM) is an online identification method which changes or alters model structure with new system states and operating conditions which make them particularly suitable to model almost all non-linear dynamical systems, industry popular model predictive control method is used to control a class of non-linear dynamical system and EFM will be used to predict the plant output that will be used by the optimizer to produce an optimal control signal.