Abstract: To address the control challenges in flexible manipulator systems due to high-dimensional nonlinear dynamics, this study proposes a novel solution integrating compressed sensing and ...
Abstract: This paper presents a constrained reinforcement learning (RL) framework for training a controller for nonlinear systems with guaranteed finite-time stability. The scheme is based on the deep ...