| Control of a buck DC/DC converter using approximate dynamic programming and artificial neural networks W Dong, S Li, X Fu, Z Li, M Fairbank, Y Gao IEEE Transactions on Circuits and Systems I: Regular Papers 68 (4), 1760-1768, 2021 | 60 | 2021 |
| A novel cascaded control to improve stability and inertia of parallel buck-boost converters in DC microgrid Z Cheng, Z Li, S Li, J Gao, J Si, HS Das, W Dong International Journal of Electrical Power & Energy Systems 119, 105950, 2020 | 41 | 2020 |
| Virtual synchronous generator and SMC-based cascaded control for voltage-source grid-supporting inverters Z Li, Z Cheng, S Li, J Si, J Gao, W Dong, HS Das IEEE Journal of Emerging and Selected Topics in Power Electronics 10 (3 …, 2021 | 28 | 2021 |
| Energy management and demand response with intelligent learning for multi-thermal-zone buildings Y Gao, S Li, X Fu, W Dong, B Lu, Z Li Energy 210, 118411, 2020 | 25 | 2020 |
| Artificial neural network control of a standalone DC microgrid W Dong, S Li, X Fu 2018 Clemson university power systems conference (PSC), 1-5, 2018 | 23 | 2018 |
| An iterative optimization and learning-based IoT system for energy management of connected buildings Y Gao, S Li, Y Xiao, W Dong, M Fairbank, B Lu IEEE Internet of Things Journal 9 (21), 21246-21259, 2022 | 16 | 2022 |
| Decoupled AC/DC power flow strategy for multiterminal HVDC systems Y Gao, S Li, W Dong, B Lu International Journal of Emerging Electric Power Systems 19 (1), 20170171, 2018 | 9 | 2018 |
| Approximate dynamic programming vector controllers for operation of IPM motors in linear and overmodulation regions Y Sun, S Li, X Fu, W Dong, M Ramezani, B Balasubramanian IEEE Transactions on Transportation Electrification 7 (2), 659-670, 2020 | 8 | 2020 |
| A learning-based load, PV and energy storage system control for nearly zero energy building Y Gao, S Li, W Dong 2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020 | 6 | 2020 |
| Small signal modeling, control and experimentation of boost converter including parasitic elements HS Das, Z Li, S Li, W Dong Journal of Control, Automation and Electrical Systems 32 (4), 956-967, 2021 | 3 | 2021 |
| Neural Network with Cloud-Based Training for MTPA, Flux-Weakening and MTPV Control of IPM Motors and Drives W Dong, S Li, Y Gao, B Balasubramanian, YK Hong, Y Sun, B Cheng IEEE Transactions on Transportation Electrification, 2023 | 1 | 2023 |
| Systems, methods and devices for control of dc/dc converters and a standalone dc microgrid using artificial neural networks S Li, X Fu, D Weizhen US Patent 11,527,955, 2022 | 1 | 2022 |
| Control of a buck dc/dc converter using approximate dynamic programming and artificial neural networks S Li, D Weizhen, X Fu, MH Fairbank US Patent 11,228,245, 2022 | 1 | 2022 |
| Artificial Intelligence and Machine Learning for Control and Operation of Electric Vehicles and Machine Drives W Dong The University of Alabama, 2021 | 1 | 2021 |
| Neural-network based mtpa, flux-weakening and mtpv for ipm motor control and drives S Li, D Weizhen, Y Gao US Patent App. 17/816,821, 2023 | | 2023 |
