2 citations · 3 across the 10 of their papers we have counts for
4 papers · 1 filter
From Privileged Control to Deployable Adaptation:Fusing Mechanism-Guided Task Reduction with Learned Behavior
Xitong Niu, Peifeng Hui, Zheyong Jiang +2
Simultaneous input-gain variation and large additive disturbance create a control problem in which a fixed observer or nominal controller may be unable to reproduce the performance…
Artificial Intelligence for Power-Converter-Rich Electrical Systems: A Review
Pengfeng Lin, Yuan Gao, Yuxi Tang +8
Power-converter-rich electrical systems, formed by renewable generation, electrified transportation, and inverter-based resources, exhibit strongly nonlinear dynamics, multi-physic…
Collaborative Optimization Framework of Battery Charging / Swapping Stations for eVTOLs Based on Closed-Loop Supply Chain and Space-Time Network
Pengfeng Lin, Miao Zhu, Jiahui Sun +3
Electric vertical take-off and landing (eVTOL) aircraft, by virtue of their advantages such as high efficiency, environmental friendliness, and low noise, are regarded as an effect…
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…