Top IEEE Transaction Journal Papers: 

1. Xingang Fu, Shuhui Li, Donald C Wunsch, and Eduardo Alonso, " Local Stability and Convergence Analysis of Neural Network Controllers with Error Integral Inputs," IEEE Transactions on Neural Networks and Learning System (Early Access). (Published online in October 2021: https://ieeexplore.ieee.org/document/9573504) (Impact Factor: 10.451)

2. Weizhen Dong, Shuhui Li, Xingang Fu, Zhongwen Li, Michael Fairbank, and Yixiang Gao “Control of a Buck dc/dc Converter using Approximate Dynamic Programming and Artificial Neural Networks,” IEEE Transactions on Circuits and Systems I: Regular Papers, Vol: 68, Issue: 4, Apr. 2021 (Impact factor: 3.605)

3. Yang Sun, Shuhui Li, Xingang Fu, Weizhen Dong, Malek Ramezani, and Bharat Balasubramanian “Approximate Dynamic Programming Vector Controllers for Operation of IPM Motors in Linear and Over-modulation Regions,” IEEE Transactions on Transportation Electrification, Vol.: 7, Issue: 2, Jun. 2021. (Impact factor: 5.123)

4. Shuhui Li, Hoyun Won, Xingang Fu, Michael Fairbank, Donald C. Wunsch, and Eduardo Alonso, "Neural-Network Vector Controllers for Permanent-Magnet Synchronous Motor Drives: Simulated and Hardware Validated Results," IEEE Transactions on Cybernetics, Vol. 50, No. 7, Jul. 2020. (Impact factor:11.448)

5. Yang Sun, Shuhui Li, Bo Lin, Xingang Fu, Malek Ramezani, and Ishan Jaithwa “Artificial Neural Network for Control and Grid Integration of Residential Solar Photovoltaic Systems,” IEEE Transactions on Sustainable Energy, Vol: 8, Issue: 4, Oct. 2017. (Impact factor: 7.917)

6. Xingang Fu and Shuhui Li, “Control of Single-Phase Grid-Connected Converters with LCL Filters Using Recurrent Neural Network and Conventional Control Methods,” IEEE Transactions on Power Electronics, Vol. 31, No. 7, Jul. 2016, pp. 5354-5364. (Impact Factor: 6.153)

7. Xingang Fu and Shuhui Li, “A Novel Neural Network Vector Control Technique for Induction Motor Drive,” IEEE Transactions on Energy Conversion, Vol. 30, No. 4, Dec. 2015, pp. 1428 - 1437.  (Impact Factor: 4.312)

8. Xingang Fu, Shuhui Li, and Ishan Jaithwa, “Implement Optimal Vector Control for LCL-Filter-Based Grid-Connected Converters by Using Recurrent Neural Networks,” IEEE Transactions on Industrial Electronics, Vol. 62, No. 7, Jul. 2015, pp. 4443-4454. (Impact Factor: 8.236) 

9. Xingang Fu, Shuhui Li, Michael Fairbank, Donald C. Wunsch, and Eduardo Alonso, “Training Recurrent Neural Networks with Levenberg-Marquardt Backpropagation for Optimal Control of a Grid-Connected Converter,” IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, No. 9, Sep. 2015, pp. 1900-1912. (Impact Factor: 10.451)

Referred Journal Papers

10. Shiva K Sadula, Rajab Challoo, Xingang Fu, and Shuhui Li, “Novel Cost-effective Technique for Continued Operation of Electrical Equipment during Voltage Sag”, International Journal of Engineering, Vol.: 13, Issue 1, Feb. 2021 

11. Nathaniel Barr, Shuhui Li, and Xingang Fu, “Control of grid-connected inverters for circulating current suppression using artificial neural network and conventional control methods”, International Transactions on Electrical Energy Systems, Vol.:31, Issue 8, Aug. 2021.

12. Xin Zhang, Ting Zhang, Jiang Lu, Xingang Fu, and Francisco Reveriano, “The Effect of High-Performance Computer on Deep Neural Network,” Engineered Science, Vol.:15, Pages 67-79, May 2021. 

13. Yixiang Gao, Shuhui Li, Xingang Fu, Weizhen Dong, Bing Lu, and Zhongwen Li, "Energy management and demand response with intelligent learning for multi-thermal-zone buildings," Elsevier Energy, Vol. 210, 1 Nov. 2020, 118411.

14. Xingang Fu, Shuhui Li, Abdullah Al Hadi, and Rajab Challoo, "Novel Neural Control of Single-Phase Grid-Tied Multilevel Inverters for Better Harmonics Reduction," Electronics 2018, 7(7), 111.

15. Zhongwen Li, Chuanzhi Zang, Peng Zeng, Haibin Yu, Shuhui Li, and Xingang Fu, " H2/H1 control for grid-feeding converter considering system uncertainty," International Journal of Electronics, Vol: 104, Issue: 5, May 2017, pp. 775-791.

16. Xingang Fu and Shuhui Li, “A Novel Neural Network Vector Control for Single-Phase Grid-Connected Converters with L, LC and LCL Filters,” Energies 2016, 9, 328. 

17. Shuhui Li, Xingang Fu, Malek Ramezani, Yang Sun, and Hoyun Won, “A Novel Direct-Current Vector Control Technique for Single-Phase Inverter with L, LC and LCL Filters,” Electric Power Systems Research, Vol. 125, Aug. 2015, pp. 235-244.

18. Shuhui Li, Ishan Jaithwa, Raed Suftah, and Xingang Fu, “Direct-Current Vector Control of Three-Phase Grid-Connected Converter with L, LC and LCL Filters,” Electric Power Components and Systems (Taylor & Francis), Vol. 43, Issue 14, 2015, pp. 1644-1655.

19. Shuhui Li, Ke Bao, Xingang Fu, and Huiying Zheng, “Energy Management and Control of Electric Vehicle Charging Stations，” Electric Power Components and Systems (Taylor & Francis), Vol.42, Issue 3-4, 2014, pp.339-347. 

20. Michael Fairbank, Shuhui Li, Xingang Fu, Eduardo Alonso, and Donald C. Wunsch, “An Adaptive Recurrent Neural-Network Controller Using a Stabilization Matrix and Predictive Inputs to Solve the Tracking Problem under Disturbances,” Neural Networks (Elsevier), Vol. 49, Jan. 2014, pp. 74-86.

21. Xingang Fu and Daxiong Piao, "Numerical Study of Stochastic Supersensitivity for 2D Generalized Burgers Equation," Periodical of Ocean University of China, No.172, 2009, pp. 483-486

Referred Conferences Papers

22. Meem Tasfia Zaman* and Xingang Fu, “State-Space Average Modeling Based PID Control for Three Novel Topologies of DC-DC Boost Converter”, Proceedings of 8th IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering 2022 (IEEE WIECON-ECE 2022), Naya Raipur (IIIT-NR), INDIA, Dec. 30 – Dec. 31, 2022.

23. Chanakya Hingu*, Xingang Fu, Scott Smith, Taofiki Saliyu, and Letu Qingge, “FPGA Acceleration of a Real-time Neural Network Controller for Solar Inverter”, Proceedings of IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (IEEE UEMCON), Oct. 26 – Oct. 29, 2022.

24. Taofiki Saliyu*, Xingang Fu, and Chanakya Hingu, “VHDL Schematic Design and FPGA Simulation of Neural Network Activation Function using Continued Fractions”, Proceedings of IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (IEEE UEMCON), Oct. 26 – Oct. 29, 2022.

25. Jordan Sturtz, Binhai Zhu, Xiaowen Liu, Xingang Fu, Xiaohong Yuan and Letu Qingge “Deep Learning Approaches for the Protein Scaffold Filling Problem”, Proceedings of ICTAI 2022 (IEEE 34th International Conference on Tools with Artificial Intelligence) virtually， Oct.31-Nov.2, 2022. 

26. Wanjau Waithaka*, Xingang Fu, Abdullah Al Hadi, Rajab Challoo, and Shuhui Li, “DSP Implementation of a Novel Recurrent Neural Network Controller into a TI Solar Microinverter”, Proceedings of 2021 IEEE PES General Meeting, Jul. 26 – Jul. 29, 2021.

27. Abdullah Al Hadi*, Xingang Fu, Rajab Challoo, Shuhui Li, and Mehrdad Ehsani "Impact of Mixed Switching Frequency Scheme on Different Topologies of Multilevel Converters for Efficiency Improvement", Proceedings of 35th Annual IEEE Applied Power Electronics Conference & Exposition (APEC 2020), New Orleans, Louisiana, Mar.15-19, 2020. 

28. Xin Zhang, Francisco Reveriano, Jiang Lu, Xingang Fu, and Ting Zhang, "The Effect of High-Performance Computer on Deep Learning: A Face Expression Recognition Case," Proceedings of IEEE CSE 2019, New York, USA, Aug.1-3, 2019.

29. Xin Zhang, Jiang Lu, Xingang Fu, Xiaokun Yang, Ishaq Unwala, and Ting Zhang, " Tracking of Targets in Mobile Robots Based on Camshift Algorithm," Proceedings of 2019 IEEE International Symposium on Measurement and Control in Robotics (ISMCR), Houston, TX, USA, Sep. 19-21, 2019.

30. Fei He, Niket S Shah, and Xingang Fu, “Cooperative Game Theoretic Modeling of Residential Energy Management in Smart Grid," Proceedings of 2019 IISE (The Institute of Industrial and Systems Engineers) Annual Conference, Orlando, Florida, USA, 2019.

31. Weizhen Dong, XingangFu, and Shuhui Li, "Artificial Neural Network Control of A Standalone DC Microgrid," Proceedings of 2018 Clemson University Power Systems Conference, Charleston, South Carolina, Sep.4-7, 2018.

32. Abdullah Al Hadi*, Xingang Fu, and Rajab Challoo, "IGBT module loss calculation and thermal resistance estimation for a grid-connected multilevel converter," Proceedings of 2018 SPIE " Wide Bandgap Power and Energy Devices and Applications III" Conference, San Diego, California, Aug.20-21, 2018.

33. Abdullah Al Hadi*, Xingang Fu, Wanjau Waithaka, Rajab Challoo, and Shuhui Li, "Comparison and Simulation of the Level-Shifted and Phase-Shifted Modulation for a Five-Level Converter for Integration of Renewable Sources," Proceedings of 2018 Clemson University Power Systems Conference, Charleston, South Carolina, Sep.4-7, 2018.

34. Jiang Lu, Xingang Fu, and Ting Zhang, “A Smart System for Face Detection with Spatial Correlation Improvement in IoT Environment,” Proceedings of 14th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2017), San Francisco, California, Aug.4-8, 2017. 

35. Xingang Fu, Matheus Rossetto, and Shuhui Li, “Embedded Digital System Design for Neural Network Based Vector Control of a Single-Phase Inverter,” Proceedings of 2016 Clemson University Power Systems Conference, Clemson, South Carolina, Mar.8-11, 2016).

36. Xingang Fu, Jiang Lu, Ting Zhang, Chadwell H. Bonair and Marvin L. Coats, “Wavelet Enhanced Image Preprocessing and Neural Networks for Hand Gesture Recognition,” Proceedings of 2015 International Conference on Big Data Intelligence and Computing (DataCom 2015), Chengdu, China, Dec 19-21, 2015.

37. Xingang Fu, Shuhui Li, “Training Recurrent Neural Network Vector Controller for Inner Current-Loop Control of Doubly Fed Induction Generator,” Proceedings of 2015 (IEEE) PES General Meeting, Denver, Colorado, USA, Jul. 26-30, 2015.

38. Xingang Fu and Shuhui Li, “Heuristic Dynamic Programming for Neural Network Vector Control of a Grid-Connected Converter,” Proceedings of 2014 (IEEE) PES General Meeting, Washington DC, USA, Jul. 27-31, 2014.

39. Shuhui Li, Xingang Fu, Eduardo Alonso, Michael Fairbank, and Donald C. Wunsch, "Neural-Network Based Vector Control of VSC- HVDC Transmission Systems," Proceedings of the 4th International Conference on Renewable Energy Research and Application, Palermo, Italy, Nov. 22-25, 2015.

40. Shuhui Li, Xingang Fu, Ishan Jaithwa, Eduardo Alonso, Michael Fairbank, and Donald C. Wunsch, “Control of Three-Phase Grid-Connected Microgrids Using Artificial Neural Networks,” Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015) – Vol. 3: NCTA, pp. 58-69, 12-14 Nov., Lisbon, Portugal, Scitepress.

41. Shuhui Li, Eduardo Alonso, Xingang Fu, Michael Fairbank, Ishan Jaithwa, and Donald C. Wunsch, “Hardware Validation for Control of Three-Phase Grid-Connected Microgrids Using Artificial Neural Networks,” Proceedings of the 12th International Conference on Applied Computing, pp 3-10, 24-26 Oct. 2015, Dublin, Ireland, IADIS Press.  

42. Shuhui Li, Michael Fairbank, Xingang Fu, Donald C. Wunsch, and Eduardo Alonso, "Nested-Loop Neural Network Vector Control of Permanent Magnet Synchronous Motors," Proceedings of 2013 International Joint Conference on Neural Networks, Dallas, Texas, USA, Aug. 3-8, 2013.

PATENTS 

1. Shuhui Li, Xingang Fu, and Weizhen Dong, "Systems, Methods and Devices for Control of DC/DC Converters and A Standalone DC Microgrid Using Artificial Neural Networks," U.S. Patent, US11527955B2, Publication date: Dec. 13, 2022. 

2. Shuhui Li, Weizhen Dong, Xingang Fu, and Michael Fairbank, " Control of a buck dc/dc converter using approximate dynamic programming and artificial neural networks," U.S. Patent US11228245B2, date of patent: Jan. 08, 2022.

3. Xingang Fu and Shuhui Li, "Systems and methods for control of induction motor drives using artificial neural networks," U.S. Patent: US10990066B2, Apr. 27, 2021.

4. Shuhui Li, Xingang Fu, Hoyun Won, and Yang Sun, "Systems, Methods, and Devices for Approximate Dynamic Programming Vector Controllers for Operation of IPM Motor in Linear and Over Modulation Regions," U.S. Patent US10367437B2, date of patent: Jul. 30, 2019.

5. Shuhui Li, Xingang Fu, Ishan Jaithwa, and Raed Suftah, "Systems and methods for providing vector control of a grid connected converter with resonant circuit grid filters," U.S. Patent, US10333390B2; date of patent: Jun. 25, 2019.

6. Shuhui Li, Michael Fairbank, Xingang Fu, Donald Wunsch, and Eduardo Alonso, "Systems, Methods, and Devices for Vector Control of Permanent Magnet Synchronous Machines Using Artificial Neural Networks," U.S. Patent, No. US 9754204 B2; date of patent: Sep. 5, 2017.