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Hauptverfasser: Boutaayamou, Idriss, Et-Tahri, Fouad, Maniar, Lahcen
Format: Preprint
Veröffentlicht: 2025
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Online-Zugang:https://arxiv.org/abs/2508.02420
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author Boutaayamou, Idriss
Et-Tahri, Fouad
Maniar, Lahcen
author_facet Boutaayamou, Idriss
Et-Tahri, Fouad
Maniar, Lahcen
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2508_02420
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Controllability of finite-dimensional linear fractional systems under uncertain parameters
Boutaayamou, Idriss
Et-Tahri, Fouad
Maniar, Lahcen
Optimization and Control
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.
title Controllability of finite-dimensional linear fractional systems under uncertain parameters
topic Optimization and Control
url https://arxiv.org/abs/2508.02420