Adaptive finite-time tracking control of robot manipulators with multiple uncertainties based on a low-cost neural approximator
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Publication:2148508
DOI10.1016/j.jfranklin.2022.04.025zbMath1491.93072OpenAlexW4229019245MaRDI QIDQ2148508
Publication date: 24 June 2022
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2022.04.025
Adaptive control/observation systems (93C40) Automated systems (robots, etc.) in control theory (93C85) Finite-time stability (93D40)
Related Items (3)
Neural network based dynamic surface integral nonsingular fast terminal sliding mode control for manipulators with disturbance rejection ⋮ Inverse-dynamics- and disturbance-observer-based tube model predictive tracking control of uncertain robotic manipulator ⋮ Switching threshold‐based event‐triggered adaptive asymptotic tracking control for stochastic nonlinear systems with full‐state constraints
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