Search Results - "Adaptive dynamic programming (ADP, also known as approximate dynamic programming)"

A Reinforcement-Learning, Optimal Approach to In Situ Power Hardware-in-the-Loop Interface Control for Testing Inverter-Based Resources: Theory and Application of the Adaptive Dynamic Programming Based on the Hybrid Iteration to Tackle Uncertain Dynamics

Authors: Masoud Davari Omar Qasem Weinan Gao et al.

Source: Davari, M, Qasem, O, Gao, W, Blaabjerg, F, Kotsampopoulos, P C, Lauss, G & Hatziargyriou, N D 2025, 'A Reinforcement-Learning, Optimal Approach to In Situ Power Hardware-in-the-Loop Interface Control for Testing Inverter-Based Resources: Theory and Application of the Adaptive Dynamic Programming Based on the Hybrid Iteration to Tackle Uncertain Dynamics', IEEE Transactions on Industrial Electronics, vol. 72, no. 6, 10753351, pp. 5867-5883. https://doi.org/10.1109/TIE.2024.3426038

Subject Terms: output feedback control, Testing, power-hardware-in-the-loop-simulation-based (PHIL-simulation-based) testing, Uncertainty, inverter-based resources (IBRs), policy iteration (PI) method/algorithm, Dynamic programming, Hardware, Transfer functions, power hardware-in-the-loop (PHIL), Hybrid power systems, Power system dynamics, value iteration (VI) method/algorithm, power hardware-in-the-loop interface control (PHIL-IC), Adaptive dynamic programming (ADP, also known as approximate dynamic programming), Frequency-domain analysis, hybrid iteration (HI) method/algorithm, Convergence, Companies

Access URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10753351
https://doi.org/10.1109/TIE.2024.3426038
http://www.scopus.com/inward/record.url?scp=85209657124&partnerID=8YFLogxK
https://vbn.aau.dk/da/publications/6dff9501-b981-49c0-84b5-ef6394da0245