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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...

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Detalles Bibliográficos
Autores principales: Mangan, N. M., Askham, T., Brunton, S. L., Kutz, J. N., Proctor, J. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society Publishing 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6451978/
https://www.ncbi.nlm.nih.gov/pubmed/31007544
http://dx.doi.org/10.1098/rspa.2018.0534