Robust neural network‐based tracking control for unmanned surface vessels under deferred asymmetric constraints

DOI10.1002/rnc.5520zbMath1527.93068OpenAlexW3149685234MaRDI QIDQ6063163

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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.5520

zbMATH Keywords

neural networkunmanned surface vesselasymmetric barrier Lyapunov functionantiwindup compensatordeferred constraints

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Lyapunov and storage functions (93D30) Automated systems (robots, etc.) in control theory (93C85)

Cites Work

• Tracking control of uncertain nonlinear systems with deferred asymmetric time-varying full state constraints
• Stress-matrix-based formation scaling control
• Semi-global robust tracking consensus for multi-agent uncertain systems with input saturation via metamorphic low-gain feedback
• Neural prescribed performance control for uncertain marine surface vessels without accurate initial errors
• Finite-time robust consensus of nonlinear disturbed multiagent systems via two-layer event-triggered control
• Tracking control of a marine surface vessel with full-state constraints
• Transverse function control with prescribed performance guarantees for underactuated marine surface vehicles
• Distributed finite‐time tracking control for multiple uncertain Euler–Lagrange systems with input saturations and error constraints
• Robust adaptive steering control for unmanned surface vehicle with unknown control direction and input saturation

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