Chenggang Cui

According to our database, Chenggang Cui authored at least 27 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Model-Free DRL Control for Power Inverters: From Policy Learning to Real-Time Implementation via Knowledge Distillation.

Yang Yang, Chenggang Cui, Xitong Niu, Jiaming Liu, Chuanlin Zhang

CoRR, March, 2026

Decentralized dynamic safety control for battery energy storage system in autonomous DC microgrids.

Xia Fu, Chenggang Cui, Xiaoyu Wang, Zhongkun Cao, Xitong Niu, Kun Liang, Chuanlin Zhang

Trans. Inst. Meas. Control, 2026

LLM-MTMP: A large language model-based multi-agent task and motion planning framework for power inspection robots.

Zongyuan Wang, Xin Zhou, Jianliang Mao, Chuanlin Zhang, Chenggang Cui, Jun Yang

J. Ind. Inf. Integr., 2026

2025

Domain Adaptation-Based Transfer Learning for DRL Control Implementation of DC Microgrids.

Chenggang Cui, Zhongyang Fan, Tianxiao Yang, Pengfeng Lin, Chunyang Gong, Chuanlin Zhang

IEEE Trans. Ind. Electron., December, 2025

GenControl: Generative AI-Driven Autonomous Design of Control Algorithms.

Chenggang Cui, Jiaming Liu, Peifeng Hui, Pengfeng Lin, Chuanlin Zhang

CoRR, June, 2025

Automated Heuristic Design for Unit Commitment Using Large Language Models.

Junjin Lv, Chenggang Cui, Shaodi Zhang, Hui Chen, Chunyang Gong, Jiaming Liu

CoRR, June, 2025

Research on a Two-Layer Demand Response Framework for Electric Vehicle Users and Aggregators Based on LLMs.

Zhaoyi Zhang, Chenggang Cui, Ning Yang, Chuanlin Zhang

CoRR, May, 2025

Dynamic Incentive Strategies for Smart EV Charging Stations: An LLM-Driven User Digital Twin Approach.

Yichen Sun, Chenggang Cui, Chuanlin Zhang, Chunyang Gong

CoRR, April, 2025

Safety-Critical Generalized Predictive Control for Speed Regulation of PMSM Drives Based on Dynamic Robust Control Barrier Function.

Zhongkun Cao, Jianliang Mao, Chuanlin Zhang, Chenggang Cui, Jun Yang

IEEE Trans. Ind. Electron., February, 2025

Robustness enhancement of DRL controller for DC-DC buck converters fusing ESO.

Tianxiao Yang, Chenggang Cui, Chuanlin Zhang, Jun Yang

J. Control. Decis., January, 2025

2024

Adaptive Horizon Seeking for Generalized Predictive Control via Deep Reinforcement Learning With Application to DC/DC Converters.

Chenggang Cui, Yinfeng Dong, Xin Dong, Chuanlin Zhang, Amer M. Y. M. Ghias

IEEE Trans. Circuits Syst. I Regul. Pap., May, 2024

Solar Radiation Prediction Model Based on Spatial Attention Mechanisms and Sun Position Feature Maps.

Rui Guan, Chenggang Cui, Hanning Zhang

Int. J. Inf. Technol. Syst. Approach, 2024

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

Junkang Feng, Chenggang Cui, Chuanlin Zhang, Zizhu Fan

CoRR, 2024

On Physics-Informed Neural Network Control for Power Electronics.

Peifeng Hui, Chenggang Cui, Pengfeng Lin, Amer M. Y. M. Ghias, Xitong Niu, Chuanlin Zhang

CoRR, 2024

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

Chenggang Cui, Jiaming Liu, Junkang Feng, Peifeng Hui, Amer M. Y. M. Ghias, Chuanlin Zhang

CoRR, 2024

A Deep Reinforcement Learning Control Strategy with Integrated Droop Control for Parallel DC-DC Buck Converters with CPLs.

Zhongyang Fan, Chenggang Cui, Tianxiao Yang, Chuanlin Zhang

Proceedings of the Data Science, 2024

2023

Finite-Time Synergetic Controller Design for DC Microgrids With Constant Power Loads.

Farahnaz Ahmadi, Yazdan Batmani, Hassan Bevrani, Tianxiao Yang, Chenggang Cui

IEEE Trans. Smart Grid, September, 2023

Implementation of Transferring Reinforcement Learning for DC-DC Buck Converter Control via Duty Ratio Mapping.

Chenggang Cui, Tianxiao Yang, Yuxuan Dai, Chuanlin Zhang, Qianwen Xu

IEEE Trans. Ind. Electron., June, 2023

2022

Toward Balancing Dynamic Performance and System Stability for DC Microgrids: A New Decentralized Adaptive Control Strategy.

Xiaoyu Wang, Xin Dong, Xitong Niu, Chuanlin Zhang, Chenggang Cui, Jingjing Huang, Pengfeng Lin

IEEE Trans. Smart Grid, 2022

Voltage Regulation of DC-DC Buck Converters Feeding CPLs via Deep Reinforcement Learning.

Chenggang Cui, Nan Yan, Baixiang Huangfu, Tianxiao Yang, Chuanlin Zhang

IEEE Trans. Circuits Syst. II Express Briefs, 2022

On the Robustness Enhancement of DRL Controller for DC-DC Converters in Practical Applications.

Tianxiao Yang, Chenggang Cui, Chuanlin Zhang

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.

Chenggang Cui, Tianxiao Yang, Yuxuan Dai, Chuanlin Zhang

CoRR, 2021

2020

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

Chenggang Cui, Nan Yan, Chuanlin Zhang

CoRR, 2020

2019

PV Power Prediction Based on LSTM With Adaptive Hyperparameter Adjustment.

Minkang Chai, Fei Xia, Shuotao Hao, Daogang Peng, Chenggang Cui, Wei Liu

IEEE Access, 2019

2018

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

Pengfei Song, Chenggang Cui, Yanlong Bai

IEEE Access, 2018

2015

Memory Based Differential Evolution Algorithms for Dynamic Constrained Optimization Problems.

Chenggang Cui, Feng Tian, Ning Yang, Junfeng Chen

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.

Chenggang Cui, Xiaofei Yang, Tingyu Gao

Proceedings of the Advances in Swarm Intelligence - 5th International Conference, 2014