Abstract: This article proposes a data-driven model-free inverse Q-learning algorithm for continuous-time linear quadratic regulators (LQRs). Using an agent’s trajectories of states and optimal ...
Abstract: This paper introduces an enhanced fault detection scheme based on Fast Sparse S-Transform (FSST) which is specifically developed for low voltage DC (LVDC) microgrid. The proposed FSST-based ...