2 citations · 2 across the 4 of their papers we have counts for
4 papers
Model-Free DRL Control for Power Inverters: From Policy Learning to Real-Time Implementation via Knowledge Distillation
Yang Yang, Chenggang Cui, Xitong Niu +2
In response to the trade-off between control performance and computational burden hindering the deployment of Deep Reinforcement Learning (DRL) in power inverters, this paper prese…
GenControl: Generative AI-Driven Autonomous Design of Control Algorithms
Chenggang Cui, Jiaming Liu, Peifeng Hui +2
Designing controllers for complex industrial electronic systems is challenging due to nonlinearities and parameter uncertainties, and traditional methods are often slow and costly.…
Automated Heuristic Design for Unit Commitment Using Large Language Models
Junjin Lv, Chenggang Cui, Shaodi Zhang +3
The Unit Commitment (UC) problem is a classic challenge in the optimal scheduling of power systems. Years of research and practice have shown that formulating reasonable unit commi…
Large Language Models based Multi-Agent Framework for Objective Oriented Control Design in Power Electronics
Chenggang Cui, Jiaming Liu, Junkang Feng +3
Power electronics, a critical component in modern power systems, face several challenges in control design, including model uncertainties, and lengthy and costly design cycles. Thi…