Online Trajectory Regeneration for Multirotors via a Proportional-Derivative Physics-Informed Neural Network
This paper presents a novel framework based on a Proportional-Derivative Physics-Informed Neural Network (PD-PINN) for real-time trajectory regeneration. Unlike conventional methods that rely on static, precomputed paths, the proposed approach dynamically adapts the reference trajectory using real-t...
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| Main Authors: | Mana Ghanifar, Amir Ali Nikkhah, Milad Kamzan, Mohammad Teshnehlab, Morteza Tayefi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11124830/ |
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