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Sequential Learning-Based Physics-Informed Neural Network Modeling for Parameter Estimation on a Power Converter

US & West · yesterday

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.

Original headline: Sequential Learning-Based Physics-Informed Neural Network Modeling for Parameter Estimation on a Power Converter

Read the original: arXiv — Systems and Control (eess.SY)

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Sequential Learning-Based Physics-Informed Neural Network Modeling for Parameter Estimation on a Power Converter

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