Adaptive neural network control for visual docking of an autonomous underwater vehicle using command filtered backstepping
DOI10.1002/RNC.6051zbMath1528.93121OpenAlexW4212917019MaRDI QIDQ6085455
Unnamed Author, Unnamed Author, Unnamed Author, Qingwei Liang, Fubin Zhang, Yimin Chen
Publication date: 12 December 2023
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/rnc.6051
adaptive neural network controlunderwater vehiclesunscented Kalman filteringposition-based visual servoingvisual docking control
Artificial neural networks and deep learning (68T07) Filtering in stochastic control theory (93E11) Adaptive control/observation systems (93C40) Automated systems (robots, etc.) in control theory (93C85)
Cites Work
- A time differences of arrival-based homing strategy for autonomous underwater vehicles
- Command Filtered Backstepping
- Data‐driven robust backstepping control of unmanned surface vehicles
- New hybrid control of autonomous underwater vehicles
- Robust adaptive trajectory tracking control of underactuated autonomous underwater vehicles with prescribed performance
- A two‐step control approach for docking of autonomous underwater vehicles
- Unnamed Item
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