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Data-driven nonlinear model reduction to spectral submanifolds in mechanical systems
While data-driven model reduction techniques are well-established for linearizable mechanical systems, general approaches to reducing nonlinearizable systems with multiple coexisting steady states have been unavailable. In this paper, we review such a data-driven nonlinear model reduction methodolog...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Royal Society
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9207537/ https://www.ncbi.nlm.nih.gov/pubmed/35719078 http://dx.doi.org/10.1098/rsta.2021.0194 |