Adaptive optimal tracking control for underactuated surface vessels using extended state observer and reinforcement learning
This paper investigates the adaptive optimal tracking control (AOTC) for underactuated surface vessels (USVs). Compared to the majority of existing studies, the control strategy in this paper innovatively combines an extended state observer (ESO) with reinforcement learning (RL). The designed ESO ha...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
KeAi Communications Co., Ltd.
2026-03-01
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| Seri Bilgileri: | Journal of Automation and Intelligence |
| Konular: | |
| Online Erişim: | http://www.sciencedirect.com/science/article/pii/S2949855425000541 |
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