Comparison of Deep Learning and Deterministic Algorithms for Control Modeling

Controlling nonlinear dynamics arises in various engineering fields. We present efforts to model the forced van der Pol system control using physics-informed neural networks (PINN) compared to benchmark methods, including idealized nonlinear feedforward (FF) control, linearized feedback control (FB)...

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Detalles Bibliográficos
Autores principales: Zhai, Hanfeng, Sands, Timothy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459824/
https://www.ncbi.nlm.nih.gov/pubmed/36080819
http://dx.doi.org/10.3390/s22176362

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459824/
https://www.ncbi.nlm.nih.gov/pubmed/36080819
http://dx.doi.org/10.3390/s22176362

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