Cargando…
Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds
We develop a methodology to construct low-dimensional predictive models from data sets representing essentially nonlinear (or non-linearizable) dynamical systems with a hyperbolic linear part that are subject to external forcing with finitely many frequencies. Our data-driven, sparse, nonlinear mode...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847615/ https://www.ncbi.nlm.nih.gov/pubmed/35169152 http://dx.doi.org/10.1038/s41467-022-28518-y |