A Fractional Model Predictive Control for Fractional Order Systems
This paper presents a new approach to model predictive control (MPC) that uses fractional order system representation in the MPC to describe the dynamics of plant used to construct the control law. The use of the fractional model guarantees stability and performance of the closed-loop especially with the present of noise. Simulation results are presented to show that the use of fractional order MPC achieves better control performance when compared to those of the conventional MPC that uses integer order models.
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