3 papers
eess.SY2025
Direct Data Driven Control Using Noisy Measurements
Ramin Esmzad, Gokul S. Sankar, Teawon Han +1
This paper presents a novel direct data-driven control framework for solving the linear quadratic regulator (LQR) under disturbances and noisy state measurements. The system dynami…
eess.SY2025
Natural Gradient Descent for Control
Ramin Esmzad, Farnaz Adib Yaghmaie, Hamidreza Modares
This paper bridges optimization and control, and presents a novel closed-loop control framework based on natural gradient descent, offering a trajectory-oriented alternative to tra…
math.OC2024
Trajectory-Oriented Control Using Gradient Descent: An Unconventional Approach
Ramin Esmzad, Hamidreza Modares
In this work, we introduce a novel gradient descent-based approach for optimizing control systems, leveraging a new representation of stable closed-loop dynamics as a function of t…