Shuhui Li
Orcid: 0000-0001-6754-8976Affiliations:
- University of Alabama, Tuscaloosa, AL, USA
According to our database1,
Shuhui Li
authored at least 32 papers
between 1997 and 2023.
Collaborative distances:
Collaborative distances:
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on eng.ua.edu
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Bibliography
2023
Local Stability and Convergence Analysis of Neural Network Controllers With Error Integral Inputs.
IEEE Trans. Neural Networks Learn. Syst., July, 2023
IEEE Access, 2023
A Comprehensive P-Q Capability Study for Grid Interconnection of Inverter Based Resources Plant.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2023
Analyzing Dynamic P-Q Capability and Operational Abnormalities of PMSG Wind Turbines.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2023
2022
An Iterative Optimization and Learning-Based IoT System for Energy Management of Connected Buildings.
IEEE Internet Things J., 2022
2021
Control of a Buck DC/DC Converter Using Approximate Dynamic Programming and Artificial Neural Networks.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021
A Schedulable Energy Scheduling Algorithm With Fair Delay for Smart Grid Distributions.
IEEE Syst. J., 2021
2020
Seamless Transition of Synchronous Inverters Using Synchronizing Virtual Torque and Flux Linkage.
IEEE Trans. Ind. Electron., 2020
Neural-Network Vector Controller for Permanent-Magnet Synchronous Motor Drives: Simulated and Hardware-Validated Results.
IEEE Trans. Cybern., 2020
2019
Dynamic Energy Management of a Microgrid Using Approximate Dynamic Programming and Deep Recurrent Neural Network Learning.
IEEE Trans. Smart Grid, 2019
IEEE Trans. Smart Grid, 2019
Robotica, 2019
2018
Fully Distributed Hierarchical Control of Parallel Grid-Supporting Inverters in Islanded AC Microgrids.
IEEE Trans. Ind. Informatics, 2018
A Simple Approach to Enhance the Performance of Complex-Coefficient Filter-Based PLL in Grid-Connected Applications.
IEEE Trans. Ind. Electron., 2018
Mob. Networks Appl., 2018
2017
Control of a Grid-Forming Inverter Based on Sliding-Mode and Mixed H<sub>2</sub>/H<sub>∞</sub> Control.
IEEE Trans. Ind. Electron., 2017
2016
IEEE Trans. Smart Grid, 2016
2015
Training Recurrent Neural Networks With the Levenberg-Marquardt Algorithm for Optimal Control of a Grid-Connected Converter.
IEEE Trans. Neural Networks Learn. Syst., 2015
Implement Optimal Vector Control for LCL-Filter-Based Grid-Connected Converters by Using Recurrent Neural Networks.
IEEE Trans. Ind. Electron., 2015
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015
2014
Integrating Home Energy Simulation and Dynamic Electricity Price for Demand Response Study.
IEEE Trans. Smart Grid, 2014
Artificial Neural Networks for Control of a Grid-Connected Rectifier/Inverter Under Disturbance, Dynamic and Power Converter Switching Conditions.
IEEE Trans. Neural Networks Learn. Syst., 2014
An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbances.
Neural Networks, 2014
2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
2012
Vector control of a grid-connected rectifier/inverter using an artificial neural network.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
2006
Restructuring an electric Machinery course with an integrative approach and computer-assisted teaching methodology.
IEEE Trans. Educ., 2006
2005
Applying IT Tools to a Laboratory Course for Measurement, Analysis, and Design of Electric and Electronic Circuits.
IEEE Trans. Educ., 2005
Proceedings of the Computational Science, 2005
2002
J. Parallel Distributed Comput., 2002
1999
Wind turbine power estimation by neural networks with Kalman filter training on a SIMD parallel machine.
Proceedings of the International Joint Conference Neural Networks, 1999
1997
Proceedings of International Conference on Neural Networks (ICNN'97), 1997