A Self-adaptive Interior Penalty Based Differential Evolution Algorithm for Constrained Optimization. - Chenggang Cui; Xiaofei Yang; Tingyu Gao (ICSI (2), 2014)

Memory Based Differential Evolution Algorithms for Dynamic Constrained Optimization Problems. - Chenggang Cui; Feng Tian; Ning Yang; Junfeng Chen (CIS, 2015)

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)

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)

An Intelligent Control Strategy for buck DC-DC Converter via Deep Reinforcement Learning. - Chenggang Cui; Nan Yan; Chuanlin Zhang (CoRR, 2020)

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)

On the Robustness Enhancement of DRL Controller for DC-DC Converters in Practical Applications. - Tianxiao Yang; Chenggang Cui; Chuanlin Zhang (ICCA, 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)

Toward Balancing Dynamic Performance and System Stability for DC Microgrids: A New Decentralized Adaptive Control Strategy. - Xiaoyu Wang 006; Xin Dong; Xitong Niu; Chuanlin Zhang; Chenggang Cui; Jingjing Huang; Pengfeng Lin (IEEE Trans. Smart Grid, 2022)

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 001 (IEEE Trans. Ind. Electron., 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, 2023)

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 (ICPCSEE (1), 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)

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 Model based Agent Framework for Electric Vehicle Charging Behavior Simulation. - Junkang Feng; Chenggang Cui; Chuanlin Zhang; Zizhu Fan (CoRR, 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)

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., 2024)

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 011 (IEEE Trans. Ind. Electron., 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, 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, 2025)

Automated Heuristic Design for Unit Commitment Using Large Language Models. - Junjin Lv; Chenggang Cui; Shaodi Zhang; Hui Chen; Chunyang Gong; Jiaming Liu (CoRR, 2025)

GenControl: Generative AI-Driven Autonomous Design of Control Algorithms. - Chenggang Cui; Jiaming Liu; Peifeng Hui; Pengfeng Lin; Chuanlin Zhang (CoRR, 2025)