Neural network-based model predictive control for unmanned aerial vehicles
This study presents a neural network-based predictive control (abbreviated as NNMPC in subsequent content) approach for quadrotor tracking. By learning dynamical behaviors from experimental flight data, a neural ordinary differential model (NODM) is built first, which is particularly suitable for si...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
ELS Publishing (ELSP)
2025-06-01
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| Series: | Artificial Intelligence and Autonomous Systems |
| Subjects: | |
| Online Access: | https://elsp-homepage.oss-cn-hongkong.aliyuncs.compaper/journal/open/AIAS/2025/aias20250005.pdf |
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