3 papers
eess.SY2025
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…
cs.LG2025
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…
eess.SY2025
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…