A survey of Fractional-Order Generalized Predictive Control

This work describes the fractional generalization of GPC, known as Fractional-Order Generalized Predictive Control (FGPC). Based on a real-order fractional cost function, FGPC combines valuable characteristics of fractional calculus and predictive control. The mathematical fundamentals of FGPC as well as a possible tuning algorithm are reviewed. We also present application examples where FGPC has proved to be a versatile and valuable control strategy to control real plants.