Xingang Fu

发表

An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbances

Shuhui Li, Michael Fairbank, Eduardo Alonso, 2014, Neural Networks.

Nested-loop neural network vector control of permanent magnet synchronous motors

Shuhui Li, Michael Fairbank, Eduardo Alonso, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Vector Control of Permanent Magnet Synchronous Motor using Adaptive Recurrent Neural Networks

D. Wunsch, Michael Fairbank, Shuhui Li, 2022 .

H2/H∞ control for grid-feeding converter considering system uncertainty

Haibin Yu, Peng Zeng, Shuhui Li, 2017 .

Local Stability and Convergence Analysis of Neural Network Controllers With Error Integral Inputs.

D. Wunsch, Eduardo Alonso, Shuhui Li, 2021, IEEE transactions on neural networks and learning systems.

Neural-Network Based Vector Control of VSC-HVDC Transmission Systems

Shuhui Li, Xingang Fu, 2021 .

VHDL Schematic Design and FPGA Simulation of Neural Network Activation Function using Continued Fractions

Xingang Fu, Taofiki Saliyu, Chanakya Hingu, 2022, 2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).

Neural-Network Vector Controller for Permanent-Magnet Synchronous Motor Drives: Simulated and Hardware-Validated Results

Shuhui Li, Hoyun Won, Michael Fairbank, 2020, IEEE Transactions on Cybernetics.

Training Recurrent Neural Networks With the Levenberg–Marquardt Algorithm for Optimal Control of a Grid-Connected Converter

Shuhui Li, Michael Fairbank, Eduardo Alonso, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Artificial Neural Network for Control and Grid Integration of Residential Solar Photovoltaic Systems

Shuhui Li, Yang Sun, Bo Lin, 2017, IEEE Transactions on Sustainable Energy.

Control of a Buck DC/DC Converter Using Approximate Dynamic Programming and Artificial Neural Networks

Shuhui Li, Michael Fairbank, Xingang Fu, 2021, IEEE Transactions on Circuits and Systems I: Regular Papers.

Energy management and demand response with intelligent learning for multi-thermal-zone buildings

Shuhui Li, Xingang Fu, Weizhen Dong, 2020 .

Implement Optimal Vector Control for LCL-Filter-Based Grid-Connected Converters by Using Recurrent Neural Networks

Shuhui Li, Xingang Fu, Ishan Jaithwa, 2015, IEEE Transactions on Industrial Electronics.

Artificial Neural Network Control of A Standalone DC Microgrid

Shuhui Li, Xingang Fu, Weizhen Dong, 2018, 2018 Clemson University Power Systems Conference (PSC).

Control of Single-Phase Grid-Connected Converters With LCL Filters Using Recurrent Neural Network and Conventional Control Methods

Shuhui Li, Xingang Fu, Shuhui Li, 2016, IEEE Transactions on Power Electronics.

Energy Management and Control of Electric Vehicle Charging Stations

Shuhui Li, Xingang Fu, Ke Bao, 2014 .

A Novel Neural Network Vector Control for Single-Phase Grid-Connected Converters with L, LC and LCL Filters

Shuhui Li, Xingang Fu, Shuhui Li, 2016 .

FPGA Acceleration of a Real-time Neural Network Controller for Solar Inverter

Xingang Fu, Taofiki Saliyu, Chanakya Hingu, 2022, 2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).

Comparison and Simulation of the Level-Shifted and Phase-Shifted Modulation for a Five-Level Converter for Integration of Renewable Sources

Shuhui Li, Rajab Challoo, Xingang Fu, 2018, 2018 Clemson University Power Systems Conference (PSC).

Training recurrent neural network vector controller for inner current-loop control of doubly fed induction generator

Shuhui Li, Xingang Fu, Shuhui Li, 2015, 2015 IEEE Power & Energy Society General Meeting.

Heuristic dynamic programming for neural network vector control of a grid-connected converter

Xingang Fu, Shuihui Li, Xingang Fu, 2014, 2014 IEEE PES General Meeting | Conference & Exposition.

An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbances

D. Wunsch, Michael Fairbank, Eduardo Alonso, 2014, Neural Networks.