Adaptive neural network-based fault-tolerant control for a three degrees of freedom helicopter

DOI10.1080/00207179.2021.1984583zbMath1515.93151OpenAlexW3202170091MaRDI QIDQ6040973

Yu-Jia Wang, Tong Wang, Jiae Yang, Xuebo Yang

Publication date: 25 May 2023

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207179.2021.1984583

zbMATH Keywords

uncertaintiesexternal disturbancestracking controlactuator faults3-DOF helicopterback-steppingRBFNN

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Adaptive control/observation systems (93C40) Networked control (93B70)

Cites Work

• A survey of motion planning algorithms from the perspective of autonomous UAV guidance
• The existence and asymptotics of solutions for the abelian Chern-Simons system with two Higgs fields and two gauge fields
• A robust adaptive nonlinear control design
• Formation control of VTOL UAV vehicles under switching-directed interaction topologies with disturbance rejection
• Distributed Fault-Tolerant Control of Large-Scale Systems: An Active Fault Diagnosis Approach
• Command Filtered Backstepping
• Prescribed performance dynamic surface control for trajectory tracking of quadrotor UAV with uncertainties and input constraints
• Backstepping control with fixed-time prescribed performance for fixed wing UAV under model uncertainties and external disturbances
• Simplified fault-tolerant adaptive control of air-breathing hypersonic vehicles

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