Chenggang Cui

Orcid: 0000-0002-9463-384X

According to our database1, Chenggang Cui authored at least 14 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Adaptive Horizon Seeking for Generalized Predictive Control via Deep Reinforcement Learning With Application to DC/DC Converters.
IEEE Trans. Circuits Syst. I Regul. Pap., May, 2024

Large Language Model based Agent Framework for Electric Vehicle Charging Behavior Simulation.
CoRR, 2024

On Physics-Informed Neural Network Control for Power Electronics.
CoRR, 2024

Large Language Models based Multi-Agent Framework for Objective Oriented Control Design in Power Electronics.
CoRR, 2024

2023
Finite-Time Synergetic Controller Design for DC Microgrids With Constant Power Loads.
IEEE Trans. Smart Grid, September, 2023

Implementation of Transferring Reinforcement Learning for DC-DC Buck Converter Control via Duty Ratio Mapping.
IEEE Trans. Ind. Electron., June, 2023

2022
Toward Balancing Dynamic Performance and System Stability for DC Microgrids: A New Decentralized Adaptive Control Strategy.
IEEE Trans. Smart Grid, 2022

Voltage Regulation of DC-DC Buck Converters Feeding CPLs via Deep Reinforcement Learning.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

On the Robustness Enhancement of DRL Controller for DC-DC Converters in Practical Applications.
Proceedings of the 17th IEEE International Conference on Control & Automation, 2022

2021
Transferring Reinforcement Learning for DC-DC Buck Converter Control via Duty Ratio Mapping: From Simulation to Implementation.
CoRR, 2021

2020
An Intelligent Control Strategy for buck DC-DC Converter via Deep Reinforcement Learning.
CoRR, 2020

2019
PV Power Prediction Based on LSTM With Adaptive Hyperparameter Adjustment.
IEEE Access, 2019

2018
Robust Output Voltage Regulation for DC-DC Buck Converters Under Load Variations via Sampled-Data Sensorless Control.
IEEE Access, 2018

2015
Memory Based Differential Evolution Algorithms for Dynamic Constrained Optimization Problems.
Proceedings of the 11th International Conference on Computational Intelligence and Security, 2015


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