Pontryagin Neural Networks for the Class of Optimal Control Problems With Integral Quadratic Cost
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. PoNNs employ the Pontryagin Minimum Principle (P...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-11-01
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| Series: | Aerospace Research Communications |
| Subjects: | |
| Online Access: | https://www.frontierspartnerships.org/articles/10.3389/arc.2024.13151/full |
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