Efficient Online Inference and Learning in Partially Known Nonlinear State-Space Models by Learning Expressive Degrees of Freedom Offline

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Original languageEnglish
Title of host publicationIEEE Conference on Decision and Control
Publication statusE-pub ahead of print - 2024

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Efficient Online Inference and Learning in Partially Known Nonlinear State-Space Models by Learning Expressive Degrees of Freedom Offline. / Ewering, Jan-Hendrik; Volkmann, Björn; Ehlers, Simon Friedrich Gerhard et al.
IEEE Conference on Decision and Control. 2024.

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

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@inproceedings{3399651a939e4760bd6e120b32d8434b,
title = "Efficient Online Inference and Learning in Partially Known Nonlinear State-Space Models by Learning Expressive Degrees of Freedom Offline",
author = "Jan-Hendrik Ewering and Bj{\"o}rn Volkmann and Ehlers, {Simon Friedrich Gerhard} and Thomas Seel and Meindl, {Michael Bernhard}",
year = "2024",
language = "English",
booktitle = "IEEE Conference on Decision and Control",

}

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TY - GEN

T1 - Efficient Online Inference and Learning in Partially Known Nonlinear State-Space Models by Learning Expressive Degrees of Freedom Offline

AU - Ewering, Jan-Hendrik

AU - Volkmann, Björn

AU - Ehlers, Simon Friedrich Gerhard

AU - Seel, Thomas

AU - Meindl, Michael Bernhard

PY - 2024

Y1 - 2024

UR - https://doi.org/10.48550/arXiv.2409.09331

M3 - Conference contribution

BT - IEEE Conference on Decision and Control

ER -

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