A non-intrusive approach to index-aware learning
Abstract
We present a non-intrusive version of the index-aware learning framework introduced in arXiv:2309.00958. Index-aware learning itself is an approach for learning the time and parameter dependent solutions of differential-algebraic equations (DAEs), in particular those describing electric circuits. A central feature of the approach is that it ensures the learned solutions to fulfill the inherent constraints of the DAE, such as e.g. Kirchhoff's laws in the case of electric circuits. This is achieved by leveraging a decoupling of the DAE into its differential and algebraic parts, with the non-intrusive version of the approach additionally relying on results from arXiv:2604.20475 and arXiv:2107.07755. We illustrate the approach using a filtered buck converter as an example and compare both the intrusive and non-intrusive versions. The code for the example is openly available.
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BibTeX
@misc{forster2026nonintrusive,
title = {{A non-intrusive approach to index-aware learning}},
author = {Peter Förster and Idoia Cortes Garcia and Wil Schilders and Sebastian Schöps},
howpublished = {arXiv},
year = {2026},
month = aug,
doi = {10.48550/arxiv.2605.30955},
eprint = {2605.30955},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2605.30955},
}
RIS
TY - UNPB
TI - A non-intrusive approach to index-aware learning
AU - Peter Förster
AU - Idoia Cortes Garcia
AU - Wil Schilders
AU - Sebastian Schöps
PY - 2026
DA - 2026/08/31
PB - arXiv
DO - 10.48550/arxiv.2605.30955
UR - https://arxiv.org/abs/2605.30955
AB - We present a non-intrusive version of the index-aware learning framework introduced in arXiv:2309.00958. Index-aware learning itself is an approach for learning the time and parameter dependent solutions of differential-algebraic equations (DAEs), in particular those describing electric circuits. A central feature of the approach is that it ensures the learned solutions to fulfill the inherent constraints of the DAE, such as e.g. Kirchhoff's laws in the case of electric circuits. This is achieved by leveraging a decoupling of the DAE into its differential and algebraic parts, with the non-intrusive version of the approach additionally relying on results from arXiv:2604.20475 and arXiv:2107.07755. We illustrate the approach using a filtered buck converter as an example and compare both the intrusive and non-intrusive versions. The code for the example is openly available.
ER -