A Reinforcement-Learning, Optimal Approach to In Situ Power Hardware-in-the-Loop Interface Control for Testing Inverter-Based Resources: Theory and Application …
Testing inverter-based resources (IBRs) is of utmost importance. This paper proposes a
novel power hardware-in-the-loop (PHIL) interface control (PHIL-IC) employing a …
novel power hardware-in-the-loop (PHIL) interface control (PHIL-IC) employing a …
Experimental Validation of Data-Driven Adaptive Optimal Control for Continuous-Time Systems Via Hybrid Iteration: An Application to Rotary Inverted Pendulum
In this article, a successive approximation learning framework for adaptive optimal control
problems, named hybrid iteration (HI), is presented and validated experimentally. The HI …
problems, named hybrid iteration (HI), is presented and validated experimentally. The HI …