Neural network‐based tracking control of autonomous marine vehicles with unknown actuator dead‐zone

DOI10.1002/rnc.5890zbMath1527.93319OpenAlexW3216219127MaRDI QIDQ6063190

Unnamed Author, Jianbin Qiu, Unnamed Author, Min Ma

Publication date: 2 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.5890

zbMATH Keywords

backsteppingneural networkcommand filterautonomous marine vehiclesunknown actuator dead-zone

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Perturbations in control/observation systems (93C73) Automated systems (robots, etc.) in control theory (93C85)

Cites Work

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• A time differences of arrival-based homing strategy for autonomous underwater vehicles
• Nonlinear mapping for performance improvement and energy saving of underwater vehicles
• Practical Tracking Via Adaptive Event-Triggered Feedback for Uncertain Nonlinear Systems
• Robust adaptive trajectory tracking control of underactuated autonomous underwater vehicles with prescribed performance
• A two‐step control approach for docking of autonomous underwater vehicles
• General Stochastic Convergence Theorem and Stochastic Adaptive Output-Feedback Controller

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