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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)...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| 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 |