12 citations · 13 across the 5 of their papers we have counts for
5 papers
Model-based and Data-based Dynamic Output Feedback for Externally Positive Systems
Abed AlRahman Al Makdah, Fabio Pasqualetti
In this work, we derive dynamic output-feedback controllers that render the closed-loop system externally positive. We begin by expressing the class of discrete-time, linear, time-…
On the Sample Complexity of the Linear Quadratic Gaussian Regulator
Abed AlRahman Al Makdah, Fabio Pasqualetti
In this paper we provide direct data-driven expressions for the Linear Quadratic Regulator (LQR), the Kalman filter, and the Linear Quadratic Gaussian (LQG) controller using a fini…
Imitation and Transfer Learning for LQG Control
Taosha Guo, Abed AlRahman Al Makdah, Vishaal Krishnan +1
In this paper we study an imitation and transfer learning setting for Linear Quadratic Gaussian (LQG) control, where (i) the system dynamics, noise statistics and cost function are…
Behavioral Feedback for Optimal LQG Control
Abed AlRahman Al Makdah, Vishaal Krishnan, Vaibhav Katewa +1
In this work, we revisit the Linear Quadratic Gaussian (LQG) optimal control problem from a behavioral perspective. Motivated by the suitability of behavioral models for data-drive…
Learning Lipschitz Feedback Policies from Expert Demonstrations: Closed-Loop Guarantees, Generalization and Robustness
Abed AlRahman Al Makdah, Vishaal Krishnan, Fabio Pasqualetti
In this work, we propose a framework to learn feedback control policies with guarantees on closed-loop generalization and adversarial robustness. These policies are learned directl…