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Publikováno v:
Aerospace Research Communications, Vol 2 (2024)
This work introduces Pontryagin Neural Networks (PoNNs), a specialised subset of Physics-Informed Neural Networks (PINNs) that aim to learn optimal control actions for optimal control problems (OCPs) characterised by integral quadratic cost functions
Externí odkaz:
https://doaj.org/article/a21353faef194760a8ada96a43d89b43
