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Model selection for hybrid dynamical systems via sparse regression

Hybrid systems are traditionally difficult to identify and analyse using classical dynamical systems theory. Moreover, recently developed model identification methodologies largely focus on identifying a single set of governing equations solely from measurement data. In this article, we develop a ne...

Täydet tiedot

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Bibliografiset tiedot
Julkaisussa:Proc Math Phys Eng Sci
Päätekijät: Mangan, N. M., Askham, T., Brunton, S. L., Kutz, J. N., Proctor, J. L.
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: The Royal Society Publishing 2019
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC6451978/
https://ncbi.nlm.nih.gov/pubmed/31007544
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rspa.2018.0534
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