5 papers · 1 filter
Simultaneous improvement of control and estimation for battery management systems
Mohammad S. Ramadan, Marfred Barrera, Mihai Anitescu +1
Standard battery management systems treat the control and state estimation problems as decoupled objectives, relying on certainty equivalence controllers that are blind to the vary…
Dampening parameter distributional shifts under robust control and gain scheduling
Mohammad Ramadan, Mihai Anitescu
Many traditional robust control approaches assume linearity of the system and independence between the system state-input and the parameters of its approximant (possibly lower-orde…
Data-conforming data-driven control: avoiding premature generalizations beyond data
Mohammad Ramadan, Evan Toler, Mihai Anitescu
Data-driven and adaptive control approaches face the problem of introducing sudden distributional shifts beyond the distribution of data encountered during learning. Therefore, the…
Floodgates up to contain the DeePC and limit extrapolation
Mohammad Ramadan, Evan Toler, Mihai Anitescu
Behavioral data-enabled control approaches typically assume data-generating systems of linear dynamics. This may result in false generalization if the newly designed closed-loop sy…
Extended Kalman filter -- Koopman operator for tractable stochastic optimal control
Mohammad S. Ramadan, Mihai Anitescu
The theory of dual control was introduced more than seven decades ago. Although it has provided rich insights to the fields of control, estimation, and system identification, dual…