Robust tracking control for quadrotor with unknown nonlinear dynamics using adaptive neural network based fractional-order backstepping control

DOI10.1016/J.JFRANKLIN.2022.07.043zbMath1496.93083OpenAlexW4289732149MaRDI QIDQ2170751

Riadh Ajgou, Abdelghani Chelihi, Mostefa Mohamed Touba, Lemya Guettal

Publication date: 6 September 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.2022.07.043

zbMATH Keywords

MIMO quadrotor unmanned aerial vehicleneural network-based fractional-order backstepping controller

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Multivariable systems, multidimensional control systems (93C35) Automated systems (robots, etc.) in control theory (93C85)

Related Items (2)

Trajectory tracking double two-loop adaptive neural network control for a quadrotor ⋮ Distributed observer-based close formation control for UAV swarm under outside disturbances and wake interferences

Cites Work

• Indirect adaptive fuzzy control of nonlinear descriptor systems
• Descriptor Observers Design for Markov Jump Systems With Simultaneous Sensor and Actuator Faults

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