Controllability of finite-dimensional linear fractional systems under uncertain parameters

This paper investigates the controllability of finite-dimensional linear fractional systems involving an uncertain parameter. We establish new results on the simultaneous and average controllability. In particular, we show that average controllability can be characterized by the so-called average Kalman rank condition and the average Gramian matrix. Moreover, using the average Gramian matrix, we design an open-loop control with minimal energy. These results can be seen as a natural generalization of the classical results known for systems with integer-order derivatives. Finally, numerical simulations are provided to robustly validate the theoretical findings, with a focus on the fractional Rössler system.