Adaptive impedance control for upper-limb rehabilitation robot using evolutionary dynamic recurrent fuzzy neural network

DOI10.1007/s10846-010-9462-3zbMath1245.93095OpenAlexW2001537057WikidataQ56419293 ScholiaQ56419293MaRDI QIDQ441449

Guozheng Xu, Hui-Jun Li, Ai-Guo Song

Publication date: 23 August 2012

Published in: Journal of Intelligent \& Robotic Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10846-010-9462-3

zbMATH Keywords

genetic algorithmson-line identificationadaptive impedance controldynamic recurrent fuzzy neural networkhybrid evolutionary programmingrehabilitation robot

Mathematics Subject Classification ID

Automated systems (robots, etc.) in control theory (93C85) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20) Artificial intelligence for robotics (68T40)

Related Items (3)

Adaptive finite-time impedance backstepping control for uncertain robotic systems interacting with unknown environments ⋮ Saturating stiffness control of robot manipulators with bounded inputs ⋮ Adaptive impedance control of robot manipulators with parametric uncertainty for constrained path-tracking

Cites Work

• A GA-based neural fuzzy system for temperature control
• Impedance Control: An Approach to Manipulation: Part I—Theory

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