Adaptive repetitive learning control for an offshore boom crane

DOI10.1016/j.automatica.2017.04.003zbMath1376.93055OpenAlexW2611833022MaRDI QIDQ2409121

Biao Lu, Yongchun Fang, Yuzhe Qian

Publication date: 11 October 2017

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2017.04.003

zbMATH Keywords

learning controlLyapunov-based controladaptive robust control methodoffshore boom crane system

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Application models in control theory (93C95) Adaptive control/observation systems (93C40) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05)

Related Items (6)

Lyapunov-based damping controller with nonlinear MPC control of payload position for a knuckle boom crane ⋮ Modeling and nonlinear coordination control for an underactuated dual overhead crane system ⋮ Fuzzy robust fault-tolerant control for offshore ship-mounted crane system ⋮ Observer‐based preview repetitive control for uncertain discrete‐time systems ⋮ Enhanced-coupling adaptive control for double-pendulum overhead cranes with payload hoisting and lowering ⋮ Neural fractional-order control of telescopic truck cranes

Cites Work

• Cooperative control of a nonuniform gantry crane with constrained tension
• Dynamic positioning of marine craft using a port-Hamiltonian framework
• Learning control in spatial coordinates for the path-following of autonomous vehicles
• Adaptive boundary control of a flexible marine installation system
• Offshore crane control based on adaptive external models
• Nonlinear control of engineering systems. A Lyapunov-based approach.

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