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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...
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| Publicado no: | Proc Math Phys Eng Sci |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Royal Society Publishing
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6283900/ https://ncbi.nlm.nih.gov/pubmed/30839858 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rspa.2018.0335 |
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