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Sparse identification of nonlinear dynamics for model predictive control in the low-data limit
Data-driven discovery of dynamics via machine learning is pushing the frontiers of modelling and control efforts, providing a tremendous opportunity to extend the reach of model predictive control (MPC). However, many leading methods in machine learning, such as neural networks (NN), require large v...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Royal Society Publishing
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6283900/ https://www.ncbi.nlm.nih.gov/pubmed/30839858 http://dx.doi.org/10.1098/rspa.2018.0335 |