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Mohammad Alsalti
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Data-based system analysis and control of flat nonlinear systems
M Alsalti, J Berberich, VG Lopez, F Allgöwer, MA Müller
2021 60th IEEE Conference on Decision and Control (CDC), 2021
362021
Efficient off-policy Q-learning for data-based discrete-time LQR problems
VG Lopez, M Alsalti, MA Müller
IEEE Transactions on Automatic Control, 2023
242023
Data-based control of feedback linearizable systems
M Alsalti, VG Lopez, J Berberich, F Allgöwer, MA Müller
IEEE Transactions on Automatic Control, 2023
182023
Design and in silico evaluation of a closed-loop hemorrhage resuscitation algorithm with blood pressure as controlled variable
M Alsalti, A Tivay, X Jin, GC Kramer, JO Hahn
Journal of Dynamic Systems, Measurement, and Control 144 (2), 021001, 2022
92022
Data-driven nonlinear predictive control for feedback linearizable systems
M Alsalti, VG Lopez, J Berberich, F Allgöwer, MA Müller
IFAC-PapersOnLine 56 (2), 617-624, 2023
62023
Data-based system representations from irregularly measured data
M Alsalti, I Markovsky, VG Lopez, MA Müller
arXiv preprint arXiv:2307.11589, 2023
42023
On the design of persistently exciting inputs for data-driven control of linear and nonlinear systems
M Alsalti, VG Lopez, MA Müller
IEEE Control Systems Letters, 2023
32023
Practical exponential stability of a robust data-driven nonlinear predictive control scheme
M Alsalti, VG Lopez, J Berberich, F Allgöwer, MA Müller
arXiv preprint arXiv:2204.01150, 2022
32022
Notes on data-driven output-feedback control of linear MIMO systems
M Alsalti, VG Lopez, MA Müller
arXiv preprint arXiv:2311.17484, 2023
22023
Identification from data with periodically missing output samples
I Markovsky, M Alsalti, VG Lopez, MA Müller
Hannover: Institutionelles Repositorium der Leibniz Universität Hannover, 2024
2024
An efficient data-based off-policy Q-learning algorithm for optimal output feedback control of linear systems
M Alsalti, VG Lopez, MA Müller
arXiv preprint arXiv:2312.03451, 2023
2023
Sample-and computationally efficient data-driven predictive control
M Alsalti, M Barkey, VG Lopez, MA Müller
arXiv preprint arXiv:2309.11238, 2023
2023
Development and In-Silico Evaluation of a Closed-Loop Fluid Resuscitation Control Algorithm with Mean Arterial Pressure Feedback
MSA Alsalti
University of Maryland, College Park, 2020
2020
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Articles 1–13