Adaptive backstepping control for flexible-joint manipulator using interval type-2 fuzzy neural network approximator

DOI10.1007/S11071-019-05073-8zbMath1430.93112OpenAlexW2952391246WikidataQ127635894 ScholiaQ127635894MaRDI QIDQ2296226

Yanyan Li

Publication date: 17 February 2020

Published in: Nonlinear Dynamics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11071-019-05073-8

zbMATH Keywords

neural networkinterval type-2 fuzzyadaptive backstepping controllerflexible-joint manipulator

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Adaptive control/observation systems (93C40)

Related Items (8)

Adaptive interval type-2 fuzzy control for multi-legged underwater robot with input saturation and full-state constraints ⋮ Fuzzy observer-based adaptive fixed-time leader-following control for high-order nonlinear multiagent systems ⋮ Adaptive tracking control for a class of nonlinear systems with input dead‐zone and actuator failure ⋮ Fractional order sliding mode control for an omni-directional mobile robot based on self-organizing interval type-2 fuzzy neural network ⋮ Observer-based finite-time adaptive fuzzy back-stepping control for MIMO coupled nonlinear systems ⋮ Vibration suppression and boundary control for nonlinear flexible rotating manipulator in three-dimensional space subject to output restrictions ⋮ Adaptive neural impedance control for electrically driven robotic systems based on a neuro-adaptive observer ⋮ Extended-state-observer-based dynamic surface control of flexible-joint robot systems with input saturation

Cites Work

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• Development of a robust nonlinear observer for a single-link flexible manipulator
• Observer-Based Fault Detection for Nonlinear Systems With Sensor Fault and Limited Communication Capacity
• Robust dynamic surface control of flexible joint robots using recurrent neural networks

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