Kernel learning for robust dynamic mode decomposition: linear and nonlinear disambiguation optimization

Research in modern data-driven dynamical systems is typically focused on the three key challenges of high dimensionality, unknown dynamics and nonlinearity. The dynamic mode decomposition (DMD) has emerged as a cornerstone for modelling high-dimensional systems from data. However, the quality of the...

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Detalles Bibliográficos
Autores principales: Baddoo, Peter J., Herrmann, Benjamin, McKeon, Beverley J., Brunton, Steven L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9006118/
https://www.ncbi.nlm.nih.gov/pubmed/35450026
http://dx.doi.org/10.1098/rspa.2021.0830

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9006118/
https://www.ncbi.nlm.nih.gov/pubmed/35450026
http://dx.doi.org/10.1098/rspa.2021.0830

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