A comparative analysis of two methods for model predictive control of fractional-order systems

The paper presents a comparative analysis of extended horizon model predictive control deployed for two various state prediction algorithms designed for discrete-time fractional-order state space systems. The first one is a finite fractional difference state predictor derived on the basis of a finite-length approximation of the fractional-order state space system. The second one is a BTA-based integer-order state space approximation of the fractional-order system. Simulation results show that second approach is more promising.