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An improved sparse identification of nonlinear dynamics with Akaike information criterion and group sparsity
A crucial challenge encountered in diverse areas of engineering applications involves speculating the governing equations based upon partial observations. On this basis, a variant of the sparse identification of nonlinear dynamics (SINDy) algorithm is developed. First, the Akaike information criteri...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Netherlands
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9552166/ https://www.ncbi.nlm.nih.gov/pubmed/36246669 http://dx.doi.org/10.1007/s11071-022-07875-9 |