5 citations · 5 across the 6 of their papers we have counts for
10 papers
Discovering Explicit Magnetic Core Loss Equations via Learnable Symbolic Sparse Identification
Haoyu Wang, Jialin Zheng, Yihao Wu +2
Explicit magnetic core loss equations with simple expressions and physical interpretability are significant tools in the design of high-frequency power magnetics. Traditional fits…
DT-MPC: Synthesizing Derivation-Free Model Predictive Control from Power Converter Netlists via Physics-Informed Neural Digital Twins
Jialin Zheng, Haoyu Wang, Yangbin Zeng +6
Model Predictive Control (MPC) is a powerful control strategy for power electronics, but it highly relies on manually-derived and topology-specific analytical models, which is labo…
Online Full ZVS Optimization for Modular Multi-Active Bridge Converter in MV PET
Haoyu Wang, Junwei Liu, Jialin Zheng +3
Multi-active bridge (MAB) converters, the core of the state-of-the-art medium-voltage power electronic transformers, can flexibly connect multiple DC ports among distributed DC gri…
Physics-Embedded Neural ODEs for Sim2Real Edge Digital Twins of Hybrid Power Electronics Systems
Jialin Zheng, Haoyu Wang, Yangbin Zeng +5
Edge Digital Twins (EDTs) are crucial for monitoring and control of Power Electronics Systems (PES). However, existing modeling approaches struggle to consistently capture continuo…
Neural Substitute Solver for Efficient Edge Inference of Power Electronic Hybrid Dynamics
Jialin Zheng, Haoyu Wang, Yangbin Zeng +5
Advancing the dynamics inference of power electronic systems (PES) to the real-time edge-side holds transform-ative potential for testing, control, and monitoring. How-ever, effici…
A Scalable Network-Aware Multi-Agent Reinforcement Learning Framework for Decentralized Inverter-based Voltage Control
Han Xu, Jialin Zheng, Guannan Qu
This paper addresses the challenges associated with decentralized voltage control in power grids due to an increase in distributed generations (DGs). Traditional model-based voltag…