Uniaxial attitude control of uncrewed aerial vehicle with thrust vectoring under model variations by deep reinforcement learning and domain randomization
Abstract The application of neural networks for nonlinear control has been actively studied in the field of aeronautics. Successful techniques have been demonstrated to achieve improved control performance in simulation using deep-reinforcement learning. To transfer the controller learnt in the simu...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2023-08-01
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| Series: | ROBOMECH Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40648-023-00260-0 |