Model selection for hybrid dynamical systems via sparse regression
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Publication:4973922
DOI10.1098/rspa.2018.0534zbMath1427.93253arXiv1808.03251OpenAlexW3102913089WikidataQ64059006 ScholiaQ64059006MaRDI QIDQ4973922
N. M. Mangan, Travis Askham, Joshua L. Proctor, Steven L. Brunton, J. Nathan Kutz
Publication date: 6 December 2019
Published in: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1808.03251
hybrid systemsmodel selectionnonlinear dynamicssparse regressioninformation criteriadata-driven discovery
Identification in stochastic control theory (93E12) Time series analysis of dynamical systems (37M10) Mathematical modeling or simulation for problems pertaining to systems and control theory (93-10)
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Uses Software
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