Fault-tolerant predictive trajectory tracking of an air vehicle based on acceleration control

DOI10.1049/iet-cta.2019.0596zbMATH Open1544.93111MaRDI QIDQ6598831

Afshin Banazadeh, Seyyed Ali Emami

Publication date: 5 September 2024

Published in: IET Control Theory \& Applications (Search for Journal in Brave)

zbMATH Keywords

stabilityadaptive controlrobust controlobserversnonlinear control systemspredictive controlmobile robotsacceleration controlmotion controlaircraft controlLyapunov methodsMPCactuator faultsposition controlactuatorsclosed loop systemscontrol system synthesistrajectory controlautonomous aerial vehiclesquadrotor unmanned aerial vehicleair vehiclelearning (artificial intelligence)designed control schemeeffective disturbance observerfault-tolerant model predictive control-based trajectory tracking approachfault-tolerant predictive trajectory trackinggeneralised online sequential extreme learning machineintroduced fault-tolerant control schemepredefined trajectoryremotely operated vehicles

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Automated systems (robots, etc.) in control theory (93C85) Model predictive control (93B45)

Cites Work

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• Computationally efficient model predictive control algorithms. A neural network approach
• Disturbance modeling and state estimation for offset-free predictive control with state-space process models
• Intelligent trajectory tracking of an aircraft in the presence of internal and external disturbances
• An apologia for stabilising terminal conditions in model predictive control
• Exponential parameter and tracking error convergence guarantees for adaptive controllers without persistency of excitation

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