Model reference adaptive impedance control for physical human-robot interaction

DOI10.1007/S11768-016-5138-2zbMath1363.93124OpenAlexW2413918388WikidataQ56426646 ScholiaQ56426646MaRDI QIDQ2823627

Hamidreza Modares, Dan O. Popa, Isura Ranatunga, Frank L. Lewis, Bakur Alqaudi, Shaikh M. Tousif

Publication date: 6 October 2016

Published in: Control Theory and Technology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11768-016-5138-2

zbMATH Keywords

model reference adaptive controlimpedance controlhuman-robot interactionmodel reference neuroadaptive

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Adaptive control/observation systems (93C40) Automated systems (robots, etc.) in control theory (93C85)

Related Items (4)

Adaptive control of a class of nonlinear time-varying systems with multiple models ⋮ Adaptive finite-time impedance backstepping control for uncertain robotic systems interacting with unknown environments ⋮ Asymptotic switched composite adaptive control with application to robotic interaction tasks ⋮ Exponentially convergence for the regressor-free adaptive fuzzy impedance control of robots by gradient descent algorithm

Cites Work

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• Adaptive impedance control to enhance human skill on a haptic interface system
• A survey of model reference adaptive techniques - theory and applications
• Feedback linearization using neural networks
• Adaptive control of nonlinear systems using neural networks
• Stable adaptive neural control scheme for nonlinear systems

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