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Data-driven discovery of the governing equations of dynamical systems via moving horizon optimization
Discovering the governing laws underpinning physical and chemical phenomena entirely from data is a key step towards understanding and ultimately controlling systems in science and engineering. Noisy measurements and complex, highly nonlinear underlying dynamics hinder the identification of such gov...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276674/ https://www.ncbi.nlm.nih.gov/pubmed/35821394 http://dx.doi.org/10.1038/s41598-022-13644-w |