Deep Deterministic Policy Gradient-Based ADRC for Quadrotor Altitude and Attitude Control Subject to Disturbance
This paper proposes a reinforcement learning-assisted active disturbance rejection control (ADRC) framework for a nonlinear quadrotor unmanned aerial vehicle (UAV). Conventional ADRC controllers are designed for the quadrotor altitude and attitude channels. To evaluate robustness under disturbance-i...
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| 主要な著者: | , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI AG
2026-06-01
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| シリーズ: | Automation |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/2673-4052/7/3/91 |
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