Robust adaptive neural network-based compensation control of a class of quadrotor aircrafts
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Publication:2217567
DOI10.1016/J.JFRANKLIN.2020.09.009zbMath1454.93127OpenAlexW3087155329MaRDI QIDQ2217567
Xiao-Ming Wu, Tao He, Jing Chi, Hai Wang, Xiao-Zheng Jin
Publication date: 31 December 2020
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2020.09.009
Sensitivity (robustness) (93B35) Adaptive control/observation systems (93C40) Automated systems (robots, etc.) in control theory (93C85)
Related Items (5)
Fixed-time neuroadaptive practical tracking control based on extended state/disturbance observer for a QUAV with external disturbances and time-varying parameters ⋮ Hyperbolic tangent function-based fixed-time event-triggered control for quadrotor aircraft with prescribed performance ⋮ Optimization-based adaptive neural sliding mode control for nonlinear systems with fast and accurate response under state and input constraints ⋮ Robust trajectory tracking of quadrotors using adaptive radial basis function network compensation control ⋮ Trajectory tracking double two-loop adaptive neural network control for a quadrotor
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