ANN based Auto-Tuned Optimized FCS-MPC for Grid-Connected CSC Inverter

Author:

Alquennah Alamera Nouran1,Trabelsi Mohamed1,Krama Abdelbasset2,Vahedi Hani3,Mohamed-Seghir Mostefa4

Affiliation:

1. Kuwait College of Science and Technology,Electronics and Communications Engineering Department,Kuwait City

2. Texas A & M University at Qatar,Department of Electrical and Computer Engineering,Doha,Qatar

3. Ossiaco Inc.,Montreal,Canada

4. Gdynia Maritime University,Faculty of Electrical Engineering,Gdynia,Poland

Publisher

IEEE

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Double Deep Q Networks Reinforcement Learning-Based Dynamic Weighting Factor of FCS-MPC for Multilevel Inverters;2024 IEEE 18th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG);2024-06-24

2. Prediction error compensation method of FCSMPC for converter based on neural network;Journal of Power Electronics;2024-06-21

3. Double Deep Q Networks Reinforcement Learning based Controller for Grid-Connected 7-Level PUC Inverter;2024 4th International Conference on Smart Grid and Renewable Energy (SGRE);2024-01-08

4. Lyapunov-Based Model Predictive Control for Stable Operation of a 9-Level Crossover Switches Cell Inverter in Grid Connection Mode;IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society;2023-10-16

5. Reinforcement Learning Based Controller for Grid-Connected PUC PV Inverter;IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society;2023-10-16

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