Performance analysis of model predictive control for linear fractional-order system with bounded disturbance

Model predictive control is an advanced control methodology which has been utilized for many industrial processes. Model is the heart of this control strategy which is required for prediction of future states. In this paper, model predictive control is applied on a fractional-order system to test the control strategy against the disturbance by adding disturbance at the output of the process. Approximation method was used to deliver the rational function of fractional-order plant and to deliver state space model of a fractional-order system. It was observed that the model predictive control for fractional-order system works fine in the presence of unknown disturbance at the output.