Identification of hybrid systems with dynamics-based modeling through symbolic regression
- DOI
- 10.1016/j.jss.2025.112639
- Published
- 2026-01
- Container
- Journal of Systems and Software
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jss.2025.112639,
title = {Identification of hybrid systems with dynamics-based modeling through symbolic regression},
author = {Swantje Plambeck and Maximilian Schmidt and Audine Subias and Louise Travé-Massuyès and Goerschwin Fey},
year = {2026},
journal = {Journal of Systems and Software},
doi = {10.1016/j.jss.2025.112639},
url = {https://doi.org/10.1016/j.jss.2025.112639}
}RIS
TY - JOUR TI - Identification of hybrid systems with dynamics-based modeling through symbolic regression AU - Swantje Plambeck AU - Maximilian Schmidt AU - Audine Subias AU - Louise Travé-Massuyès AU - Goerschwin Fey PY - 2026 JO - Journal of Systems and Software DO - 10.1016/j.jss.2025.112639 UR - https://doi.org/10.1016/j.jss.2025.112639 ER -
APA
Plambeck, S., Schmidt, M., Subias, A., Travé-Massuyès, L., & Fey, G. (2026). Identification of hybrid systems with dynamics-based modeling through symbolic regression. Journal of Systems and Software. https://doi.org/10.1016/j.jss.2025.112639
Source records
- crossref · retrieved 2026-11-10T13:35:28.848Z