Mohammad S. Ramadan

According to our database, Mohammad S. Ramadan authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Data-Conforming Data-Driven Control: Avoiding Premature Generalizations Beyond Data.

Mohammad S. Ramadan, Evan Toler, Mihai Anitescu

IEEE Trans. Autom. Control., May, 2026

2025

Simultaneous improvement of control and estimation for battery management systems.

Mohammad S. Ramadan, Marfred Barrera, Mihai Anitescu, Sylvia L. Herbert

CoRR, July, 2025

Floodgates up to contain the DeePC and limit extrapolation.

Mohammad S. Ramadan, Evan Toler, Mihai Anitescu

CoRR, January, 2025

Actively Learning Reinforcement Learning: A Stochastic Optimal Control Approach.

Mohammad S. Ramadan, Mahmoud A. Hayajnh, Michael T. Tolley, Kyriakos G. Vamvoudakis

Proceedings of the IEEE Conference on Control Technology and Applications, 2025

Monte Carlo Grid Dynamic Programming: Almost Sure Convergence and Probability Constraints.

Mohammad S. Ramadan, Ahmad Al-Tawaha, Mohamed Shouman, Ahmed Atallah, Ming Jin

Proceedings of the 2025 American Control Conference, 2025

2024

Extended Kalman Filter-Koopman Operator for Tractable Stochastic Optimal Control.

Mohammad S. Ramadan, Mihai Anitescu

IEEE Control. Syst. Lett., 2024

Dampening parameter distributional shifts under robust control and gain scheduling.

Mohammad S. Ramadan, Mihai Anitescu

CoRR, 2024

A Control Approach for Nonlinear Stochastic State Uncertain Systems with Probabilistic Safety Guarantees.

Mohammad S. Ramadan, Mohammad Alsuwaidan, Ahmed Atallah, Sylvia L. Herbert

Proceedings of the American Control Conference, 2024

2023

Monte Carlo Grid Dynamic Programming: Almost Sure Convergence and Probability Constraints.

Mohammad S. Ramadan, Mohamed Shouman, Ahmed Atallah

CoRR, 2023

State estimation for control: an approach for output-feedback stochastic MPC.

Mohammad S. Ramadan, Robert R. Bitmead, Ke Huang

CoRR, 2023

2022

Maximum Likelihood recursive state estimation using the Expectation Maximization algorithm.

Mohammad S. Ramadan, Robert R. Bitmead

Autom., 2022