Data‐driven robust backstepping control of unmanned surface vehicles

DOI10.1002/rnc.4956zbMath1466.93115OpenAlexW3011578882MaRDI QIDQ4990560

Ning Wang, Yongpeng Weng

Publication date: 31 May 2021

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.4956

zbMATH Keywords

sliding-mode controlextended state observerdata-driven controlunmanned surface vehicledecoupled PI control

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Automated systems (robots, etc.) in control theory (93C85) Variable structure systems (93B12) Observers (93B53)

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Learning‐based hierarchical control for fault‐tolerant cooperation of networked marine surface vehicles ⋮ Dynamic surface control with a nonlinear disturbance observer for multi‐degree of freedom underactuated mechanical systems ⋮ Adaptive neural network control for visual docking of an autonomous underwater vehicle using command filtered backstepping ⋮ Robust free‐time‐stable fault tolerant control for rigid satellite attitude system with output constraint ⋮ Data‐assisted control: A framework development by exploiting NASA Generic Transport platform ⋮ Adaptive integral terminal super‐twisting with finite‐time convergence for an unmanned surface vehicle under disturbances ⋮ Reinforcement learning‐based optimal trajectory tracking control of surface vessels under input saturations ⋮ An improved predictor LOS-based global fixed-time prescribed performance controller for the path following of underactuated marine surface vehicles with input saturation

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