Publikationen

Alsalti, M.; Barkey, M.; Lopez, V. G. & Müller, M. A. (2024): Robust and efficient data-driven predictive control,  submitted
arXiv: 2409.18867

Alsalti, M.; Markovsky, I.; Lopez, V. G. & Müller, M. A. (2024): Data-based system representations from irregularly measured data,  IEEE Transactions on Automatic Control, 2024, pp. 1-16
DOI: 10.1109/TAC.2024.3423053
arXiv: 2307.11589

Markovsky, I.; Alsalti, M. ; Lopez, V. G. & Müller, M. A. (2024): Identification from data with periodically missing output samples,  Automatica, 2024, Vol. 169, p. 111869
DOI: 10.1016/j.automatica.2024.111869

Alsalti, M.; Lopez, V. G. & Müller, M. A. (2023): On the design of persistently exciting inputs for data-driven control of linear and nonlinear systems,  IEEE Control Systems Letters, vol. 7, pp. 2629 - 2634
DOI: 10.1109/LCSYS.2023.3287133
arXiv: 2303.08707

Alsalti, M.; Lopez, V. G. & Müller, M. A. (2023): Notes on data-driven output-feedback control of linear MIMO systems,  submitted
arXiv: 2311.17484

Alsalti, M.; Lopez, V. G; Berberich, J.; Allgöwer, F. & Müller, M. A. (2023): Data-Based Control of Feedback Linearizable Systems,  IEEE Transactions on Automatic Control (Early Access)
DOI: 10.1109/TAC.2023.3249289
arXiv: 2204.01148

Lopez, V. G.; Alsalti, M. & Müller, M. A. (2023): Efficient Off-Policy Q-Learning for Data-Based Discrete-Time LQR Problems,  IEEE Transactions on Automatic Control, pp. 1-12
DOI: 10.1109/TAC.2023.3235967

Alsalti, M.; Barkey, M.; Lopez, V. G. & Müller, M. A. (2024): Sample- and computationally efficient data-driven predictive control,  Proceedings of the 22nd IEEE European Control Conference 2024. pp. 84-89
DOI: 10.23919/ECC64448.2024.10591022
arXiv: 2309.11238

Alsalti, M.; Lopez, V. G. & Müller, M. A. (2024): An efficient data-based off-policy Q-learning algorithm for optimal output feedback control of linear systems,  Proceedings of the 6th Annual Learning for Dynamics & Control Conference, vol. 242, pp. 312-323 Weitere Informationen
arXiv: 2312.03451

Alsalti, M.; Lopez, V. G.; Berberich, J.; Allgöwer, F. & Müller, M. A. (2023): Data-driven nonlinear predictive control for feedback linearizable systems,  22nd IFAC World Congress: Yokohama, Japan, July 9-14, 2023. IFAC-PapersOnLine, Vol. 56, Issue 2, pp. 617-624
DOI: 10.1016/j.ifacol.2023.10.1636
arXiv: 2211.06339

Alsalti, M.; Berberich, J.; Lopez, V. G.; Allgöwer, F. & Müller, M. A. (2021): Data-Based System Analysis and Control of Flat Nonlinear Systems,  60th IEEE Conference on Decision and Control (CDC), pp. 1484-1489
DOI: 10.1109/CDC45484.2021.9683327
arXiv: 2103.02892

Alsalti, M.; Berberich, J.;Lopez, V. G.; Allgöwer, F. & Müller, M. A. (2022): Practical exponential stability of a robust data-driven nonlinear predictive control scheme,  Supplementary material - technical report
arXiv: 2204.01150