Defending Smart Electrical Power Grids against Cyberattacks with Deep -Learning M Moradi, Y Weng, YC Lai PRX Energy 1 (3), 033005, 2022 | 18 | 2022 |
Model-free tracking control of complex dynamical trajectories with machine learning ZM Zhai, M Moradi, LW Kong, B Glaz, M Haile, YC Lai Nature communications 14 (1), 5698, 2023 | 13 | 2023 |
Detecting weak physical signal from noise: a machine-learning approach with applications to magnetic-anomaly-guided navigation ZM Zhai, M Moradi, LW Kong, YC Lai Physical Review Applied 19 (3), 034030, 2023 | 11 | 2023 |
Adaptive optimal control of unknown discrete-time linear systems with guaranteed prescribed degree of stability using reinforcement learning SE Razavi, MA Moradi, S Shamaghdari, MB Menhaj International Journal of Dynamics and Control 10 (3), 870-878, 2022 | 8 | 2022 |
Preferential cyber defense for power grids M Moradi, Y Weng, J Dirkman, YC Lai PRX Energy 2 (4), 043007, 2023 | 4 | 2023 |
Random forests for detecting weak signals and extracting physical information: a case study of magnetic navigation M Moradi, ZM Zhai, A Nielsen, YC Lai APL Machine Learning 2 (1), 016118, 2024 | 2 | 2024 |
Machine-learning parameter tracking with partial state observation ZM Zhai, M Moradi, B Glaz, M Haile, YC Lai Physical Review Research 6 (1), 013196, 2024 | 2 | 2024 |
Heterogeneous reinforcement learning for defending power grids against attacks M Moradi, S Panahi, ZM Zhai, Y Weng, J Dirkman, YC Lai APL Machine Learning 2 (2), 2024 | | 2024 |
Machine-learning prediction of tipping and collapse of the Atlantic Meridional Overturning Circulation S Panahi, LW Kong, M Moradi, ZM Zhai, B Glaz, M Haile, YC Lai arXiv preprint arXiv:2402.14877, 2024 | | 2024 |