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Abed AlRahman Al Makdah
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Year
Three-dimensional trajectory tracking of a hybrid autonomous underwater vehicle in the presence of underwater current
AAR Al Makdah, N Daher, D Asmar, E Shammas
Ocean Engineering 185, 115-132, 2019
282019
Lipschitz bounds and provably robust training by laplacian smoothing
V Krishnan, A Makdah, A AlRahman, F Pasqualetti
Advances in Neural Information Processing Systems 33, 10924-10935, 2020
252020
Imitation and transfer learning for LQG control
T Guo, AAR Al Makdah, V Krishnan, F Pasqualetti
IEEE Control Systems Letters 7, 2149-2154, 2023
162023
Accuracy prevents robustness in perception-based control
AAR Al Makdah, V Katewa, F Pasqualetti
2020 American Control Conference (ACC), 3940-3946, 2020
142020
A fundamental performance limitation for adversarial classification
AAR Al Makdah, V Katewa, F Pasqualetti
IEEE Control Systems Letters 4 (1), 169-174, 2019
142019
Modeling and optimal three-dimensional trajectory tracking for an autonomous underwater vehicle
AAR Al Makdah, E Shammas, N Daher, I ElHajj
2016 IEEE international conference on advanced intelligent mechatronics (AIM …, 2016
112016
Behavioral feedback for optimal LQG control
AAR Al Makdah, V Krishnan, V Katewa, F Pasqualetti
2022 IEEE 61st Conference on Decision and Control (CDC), 4660-4666, 2022
102022
On the robustness of data-driven controllers for linear systems
R Anguluri, AAR Al Makdah, V Katewa, F Pasqualetti
Learning for Dynamics and Control, 404-412, 2020
72020
On the sample complexity of the linear quadratic gaussian regulator
AAR Al Makdah, F Pasqualetti
2023 62nd IEEE Conference on Decision and Control (CDC), 602-609, 2023
52023
Learning Lipschitz Feedback Policies From Expert Demonstrations: Closed-Loop Guarantees, Robustness and Generalization
AAR Al Makdah, V Krishnan, F Pasqualetti
IEEE Open Journal of Control Systems 1, 85-99, 2022
5*2022
Model-based and data-based dynamic output feedback for externally positive systems
AARA Makdah, F Pasqualetti
arXiv preprint arXiv:2305.02472, 2023
22023
Robust adversarial classification via abstaining
AAR Al Makdah, V Katewa, F Pasqualetti
2021 60th IEEE Conference on Decision and Control (CDC), 763-768, 2021
12021
Learning Robust Models for Control: Tradeoffs, Fundamental Insights, and Benchmarking Control Design
AAR Al Makdah
University of California, Riverside, 2023
2023
Modeling and control of a hybrid autonomous underwater vehicle
A Makdah, AAR Milad
Theses, Dissertations, and Projects, 2016
2016
2022 Index IEEE Open Journal of Control Systems Vol.
M Aburakhis, A Aghasi, A Allibhoy, CA Alonso, N Atanasov, L Balzano, ...
AACC AWARDS
M Krstic
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Articles 1–16