Notes on intelligence based model predictive control scheme: A case study

This paper describes an intelligence based model predictive control scheme in dealing with a complicated system. In the control strategy proposed here, the system has to be first represented through a multi-Takagi-Sugeno-Kang (TSK) fuzzy-based model approach and subsequently a multi-generalized predictive control (GPC) scheme is realized in line with the investigated model outcomes, at a number of operating points of the system. In this control strategy, the proposed multi-GPC scheme is instantly updated to derive the system by activating the best control scheme through a new GPC identifier. To demonstrate the effectiveness of the proposed control scheme, the simulations are carried out and the results are compared with those obtained using the traditional GPC scheme. The results verify the validity of the proposed control scheme.