Maximum Likelihood recursive state estimation using the Expectation Maximization algorithm. - Mohammad S. Ramadan; Robert R. Bitmead (Autom., 2022)

State estimation for control: an approach for output-feedback stochastic MPC. - Mohammad S. Ramadan; Robert R. Bitmead; Ke Huang (CoRR, 2023)

Monte Carlo Grid Dynamic Programming: Almost Sure Convergence and Probability Constraints. - Mohammad S. Ramadan; Mohamed Shouman; Ahmed Atallah (CoRR, 2023)

Actively Learning Reinforcement Learning: A Stochastic Optimal Control Approach. - Mohammad S. Ramadan; Mahmoud A. Hayajnh; Michael Thomas Tolley; Kyriakos G. Vamvoudakis (CoRR, 2023)

A Control Approach for Nonlinear Stochastic State Uncertain Systems with Probabilistic Safety Guarantees. - Mohammad S. Ramadan; Mohammad Alsuwaidan; Ahmed Atallah; Sylvia L. Herbert (ACC, 2024)

Data-conforming data-driven control: avoiding premature generalizations beyond data. - Mohammad S. Ramadan; Evan Toler; Mihai Anitescu (CoRR, 2024)

Dampening parameter distributional shifts under robust control and gain scheduling. - Mohammad S. Ramadan; Mihai Anitescu (CoRR, 2024)

Extended Kalman Filter-Koopman Operator for Tractable Stochastic Optimal Control. - Mohammad S. Ramadan; Mihai Anitescu (IEEE Control. Syst. Lett., 2024)

Monte Carlo Grid Dynamic Programming: Almost Sure Convergence and Probability Constraints. - Mohammad S. Ramadan; Ahmad Al-Tawaha; Mohamed Shouman; Ahmed Atallah; Ming Jin (ACC, 2025)

Floodgates up to contain the DeePC and limit extrapolation. - Mohammad S. Ramadan; Evan Toler; Mihai Anitescu (CoRR, 2025)

Simultaneous improvement of control and estimation for battery management systems. - Mohammad S. Ramadan; Marfred Barrera; Mihai Anitescu; Sylvia L. Herbert (CoRR, 2025)