Deep Reinforcement Learning Based Active Disturbance Rejection Control for ROV Position and Attitude Control

Remotely operated vehicles (ROVs) face challenges in achieving optimal trajectory tracking performance during underwater movement due to external disturbances and parameter uncertainties. To address this issue, this paper proposes a position and attitude control strategy for underwater robots based...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Gaosheng Luo, Dong Zhang, Wei Feng, Zhe Jiang, Xingchen Liu
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2025-04-01
Sarja:	Applied Sciences
Aiheet:	ROV linear active disturbance rejection control deep reinforcement learning deep deterministic policy gradient (DDPG) algorithm resilience to disturbance
Linkit:	https://www.mdpi.com/2076-3417/15/8/4443
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