T. Guo and A. A. {Al Makdah} and V. Krishnan and F. Pasqualetti, Imitation and Transfer Learning for LQG Control. IEEE Control Systems Letters, 7:2149-2154, 2023.
A. A. {Al Makdah} and V. Krishnan and F. Pasqualetti, Learning Lipschitz Feedback Policies from Expert Demonstrations: Closed-Loop Guarantees, Generalization and Robustness. IEEE Open Journal of Control Systems, 1:85-99, 2022.
A. A. {Al Makdah} and V. Katewa and F. Pasqualetti, A Fundamental Performance Limitation for Adversarial Classification. IEEE Control Systems Letters, 4(1):169-174, 2019. [PDF]
Conference Articles
S. Tripathi and A. A. {Al Makdah} and F. Pasqualetti, Time Varying Quadratic Optimization With Unknown Objective Function Using Noisy Gradients. American Control Conference, Denver, CO, June 2024. Submitted.
T. Guo and A. A. {Al Makdah} and P. Tesi and F. Pasqualetti, A Data-driven Stability Test for LTI systems. IEEE Conf. on Decision and Control, Milan, Italy, December 2024. To appear.
A. A. {Al Makdah} and F. Pasqualetti, Model-based and Data-based Dynamic Output Feedback for Externally Positive Systems. IEEE Conf. on Decision and Control, Milan, Italy, December 2024. To appear.
A. A. {Al Makdah} and F. Pasqualetti, On the Sample Complexity of the Linear Quadratic Gaussian Regulator. IEEE Conf. on Decision and Control, Marina Bay Sands, Singapore, December 2023.
A. A. {Al Makdah} and V. Krishnan and V. Katewa and F. Pasqualetti, Behavioral Feedback for Optimal LQG Control. IEEE Conf. on Decision and Control, Cancún, Mexico, pages 4660-4666, December 2022. [PDF]
A. A. {Al Makdah} and V. Katewa and F. Pasqualetti, Robust Adversarial Classification via Abstaining. IEEE Conf. on Decision and Control, Austin, TX, pages 763-768, December 2021.
R. Anguluri and A. A. {Al Makdah} and V. Katewa and F. Pasqualetti, On the Robustness of Data-Driven Controllers for Linear Systems. Learning for Dynamics & Control, San Francisco, CA, USA, pages 404-412, June 2020. [PDF]
A. A. {Al Makdah} and V. Katewa and F. Pasqualetti, Accuracy Prevents Robustness in Perception-based Control. American Control Conference, Denver, CO, USA, July 2020. [PDF]
V. Krishnan and A. A. {Al Makdah} and F. Pasqualetti, Lipschitz Bounds and Provably Robust Training by Laplacian Smoothing. Advances in Neural Information Processing Systems, Vancouver, Canada, pages 10924-10935, December 2020. [PDF]