Sequential Learning-Based Physics-Informed Neural Network Modeling for Parameter Estimation on a Power Converter
arXiv:2610.20041v1 Announce Type: cross Abstract: A staged physics-informed neural network (PINN) is proposed for identifying the inductance, capacitance and parasitic resistances of a DC buck converter from time-domain data.