"Sample Data for Training the PINN Model of the PINN-MPC"

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Authors: Xiaojun Deng, N.K. Lee, Huanqing Yang, Yun Yang
Cited by: 0

Abstract

"This is the sample data from a switched-capacitor boost (SCB) converter, which can be utilized to train an physics-informed neural network (PINN) model. In the dataset, the equivalent conductance GLoss is recorded and applied to the SCB converter, and the input voltage Vin, the inductor current iL9k, the output voltage reference Voref, and the output current io9k are recorded. During the PINN training process, the input voltage Vin, the inductor current iL9k, the output voltage reference Voref, and the output current io9k are the four inputs of the PINN model. Besides, the recorded GLoss is used as the output of the PINN model."

Fields of Study & Subjects

Advanced DC-DC Converters Model Reduction and Neural Networks Neural Networks and Applications

Publication details

Journal / source
IEEE DataPort
Publication date
6 February 2026
Document type
Dataset