Adaptive neural network output feedback control for flexible multi-link robotic manipulators

DOI10.1080/00207179.2018.1436774zbMath1423.93179OpenAlexW2791259745MaRDI QIDQ5197937

Belkacem Rahmani, Mohammed Belkheiri

Publication date: 2 October 2019

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207179.2018.1436774

zbMATH Keywords

uncertaintyneural networksunmodelled dynamicshigh gain observerflexible robotsfeedback linearisation

Mathematics Subject Classification ID

Feedback control (93B52) Control/observation systems with incomplete information (93C41) Adaptive control/observation systems (93C40) Automated systems (robots, etc.) in control theory (93C85)

Related Items (4)

An adaptive neural network-based controller for car driving simulators ⋮ Hybrid deep learning controller for nonlinear systems based on adaptive learning rates ⋮ Practical finite-time adaptive sliding mode control for 5-link biped robot in the presence of uncertainty ⋮ Extended-state-observer-based dynamic surface control of flexible-joint robot systems with input saturation

Cites Work

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• Trajectory control of a non-linear one-link flexible arm
• Adaptive output feedback control of a class of multi-input multi-output systems using neural networks
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• Hybrid control scheme for robust tracking of two-link flexible manipulator
• Adaptive output feedback control of nonlinear systems using neural networks

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