An improved adaptive online neural control for robot manipulator systems using integral Barrier Lyapunov functions

DOI10.1080/00207721.2019.1567863zbMath1482.93327OpenAlexW2914183562WikidataQ128545723 ScholiaQ128545723MaRDI QIDQ5027929

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Publication date: 7 February 2022

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: http://eprints.uwe.ac.uk/39354/1/plain-version.pdf

zbMATH Keywords

radial basis function (RBF)neural network (NN)integral barrier Lyapunov functions (iBLF)prescribed trajectory tracking

Mathematics Subject Classification ID

Lyapunov and storage functions (93D30) Adaptive control/observation systems (93C40) Automated systems (robots, etc.) in control theory (93C85)

Related Items (6)

Safety-enhanced observer-based adaptive fuzzy synchronization control framework for teleoperation systems ⋮ Integral barrier Lyapunov functions based sliding mode observer‐controller for nonlinear systems with performance constraints ⋮ A framework of adaptive fuzzy control and optimization for nonlinear systems with output constraints ⋮ Tracking control of the nodes for the complex dynamical network with the auxiliary links dynamics ⋮ Fixed-time stable bilateral teleoperation of underwater manipulator using prescribed performance terminal sliding surfaces ⋮ Adaptive control of teleoperation systems with prescribed tracking performance: a BLF-based approach

Cites Work

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• Observer‐based adaptive neural control of uncertain MIMO nonlinear systems with unknown control direction
• Adaptive neural network control for strict-feedback nonlinear systems using backstepping design
• A hierarchical optimization neural network for large-scale dynamic systems

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