Chenggang Cui

Orcid: 0000-0002-9463-384X

According to our database1, Chenggang Cui authored at least 17 papers between 2014 and 2025.

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

Timeline

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2016
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2020
2022
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Safety-Critical Generalized Predictive Control for Speed Regulation of PMSM Drives Based on Dynamic Robust Control Barrier Function.
IEEE Trans. Ind. Electron., February, 2025

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

A Deep Reinforcement Learning Control Strategy with Integrated Droop Control for Parallel DC-DC Buck Converters with CPLs.
Proceedings of the Data Science, 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

2014
A Self-adaptive Interior Penalty Based Differential Evolution Algorithm for Constrained Optimization.
Proceedings of the Advances in Swarm Intelligence - 5th International Conference, 2014


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