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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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Detalhes bibliográficos
Publicado no:Proc Math Phys Eng Sci
Main Authors: Kaiser, E., Kutz, J. N., Brunton, S. L.
Formato: Artigo
Idioma:Inglês
Publicado em: The Royal Society Publishing 2018
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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