Geometric numerical integration for data-driven system identification: Extended Abstract

Christian Offen

doi:10.24406/publica-5436

Geometric numerical integration for data-driven system identification: Extended Abstract

Christian Offen

Mathematics

Research output: Contribution to conference (unpublished) › Abstract › peer-review

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Original language	English
Pages	18-23
Number of pages	6
DOIs	https://doi.org/10.24406/publica-5436
Publication status	Published - 10 Sept 2025
Event	2nd International Conference on Highly Flexible Slender Structures: ECCOMAS Thematic Conference and IACM Special Interest Conference - Frauenhofer Institute of Industrial Mathematics ITWM, Kaiserslautern, Germany Duration: 22 Sept 2025 → 26 Sept 2025 Conference number: 2 https://hfss.uniri.hr

Conference

Conference	2nd International Conference on Highly Flexible Slender Structures
Abbreviated title	HFSS 2025
Country/Territory	Germany
City	Kaiserslautern
Period	22/09/25 → 26/09/25
Internet address	https://hfss.uniri.hr

Bibliographical note

Extended abstract for an invited keynote talk at the conference HFSS2025 at the Frauenhofer Institute for Industrial Mathematics ITWM, Kaiserslautern, Germany, September 2025

Keywords

system identification
uncertainty quantification
Physics informed learning
structure preservation
numerical integration

Access to Document

10.24406/publica-5436Licence: Creative Commons: Attribution (CC BY)

HFSS_2025_extended_abstractAccepted author manuscript, 4.18 MBLicence: Creative Commons: Attribution (CC BY)
HFSS2025Final published version, 13.7 MBLicence: Creative Commons: Attribution (CC BY)

Cite this

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author = "Christian Offen",

note = "Extended abstract for an invited keynote talk at the conference HFSS2025 at the Frauenhofer Institute for Industrial Mathematics ITWM, Kaiserslautern, Germany, September 2025; 2nd International Conference on Highly Flexible Slender Structures : ECCOMAS Thematic Conference and IACM Special Interest Conference, HFSS 2025 ; Conference date: 22-09-2025 Through 26-09-2025",

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