Multiple feedback recurrent neural network based super-twisting predefined-time nonsingular terminal sliding mode control for quad-rotor UAV

Author:

Qin XinghaoORCID,Zhao Zhanshan,Huang Peike,Li Jixun

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference31 articles.

1. Design and control of drones;Mueller;Annu. Rev. Control Robot. Auton. Syst.,2022

2. Active disturbance rejection control of quad-rotor uav based on whale optimization algorithm;Liu,2022

3. Event-triggered fractional-order sliding mode control technique for stabilization of disturbed quad-rotor unmanned aerial vehicles;Pouzesh;Aerosp. Sci. Technol.,2022

4. Backstepping-based adaptive control of a quad-rotor UAV with guaranteed tracking performance;Koksal;ISA Trans.,2020

5. Adaptive finite-time backstepping control tracker for quad-rotor UAV with model uncertainty and external disturbance;Wang;Aerosp. Sci. Technol.,2023

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