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@INPROCEEDINGS{Zimmer:1049195,
      author       = {Zimmer, Marcel and De Din, Edoardo and Carta, Daniele and
                      Benigni, Andrea},
      title        = {{P}ower {E}lectronics {P}arameter {E}stimation by
                      {P}hysics-{I}nformed {G}aussian {P}rocesses},
      publisher    = {IEEE},
      reportid     = {FZJ-2025-05277},
      pages        = {1-6},
      year         = {2025},
      abstract     = {Non-invasive parameter estimation of power electronics
                      enables condition and health monitoring, enhances control
                      strategies, and thus, guarantees reliable and stable
                      operation of power converters. In this work, we propose the
                      application of Physics-Informed Gaussian Processes (PIGP)
                      for parameter estimation of power electronic converters. We
                      provide a detailed model-building scheme allowing
                      non-invasive characterisation of power converters. In
                      particular, we show that the proposed approach can be
                      applied independently of the particular noise level without
                      the need for data pre-processing. Tested with a DC-DC buck
                      converter in a simulation scenario, we show that the
                      proposed approach is immune to measurement noise and can be
                      executed with low sampling rates. This allows fast, possibly
                      online, execution and thus tracking of converter parameter
                      changes due to thermal effects or aging during operation.},
      month         = {Oct},
      date          = {2025-10-14},
      organization  = {IECON 2025 – 51st Annual Conference
                       of the IEEE Industrial Electronics
                       Society, Madrid (Spain), 14 Oct 2025 -
                       17 Oct 2025},
      cin          = {ICE-1},
      cid          = {I:(DE-Juel1)ICE-1-20170217},
      pnm          = {1121 - Digitalization and Systems Technology for
                      Flexibility Solutions (POF4-112) / 1122 - Design, Operation
                      and Digitalization of the Future Energy Grids (POF4-112) /
                      1123 - Smart Areas and Research Platforms (POF4-112)},
      pid          = {G:(DE-HGF)POF4-1121 / G:(DE-HGF)POF4-1122 /
                      G:(DE-HGF)POF4-1123},
      typ          = {PUB:(DE-HGF)8},
      doi          = {10.1109/IECON58223.2025.11221137},
      url          = {https://juser.fz-juelich.de/record/1049195},
}