Department of Electrical and Computer Engineering, Faculty of Electrical Engineering, Isfahan University of Technology, Isfahan, Iran
Abstract
Quadrotor unmanned aerial vehicles are highly nonlinear, underactuated, and strongly coupled systems whose performance is sensitive to physical parameter uncertainties. Among these uncertainties, mass variation is especially important because it directly affects the altitude dynamics through the thrust-to-mass ratio. In practical missions, the quadrotor mass may change due to payload variation, battery replacement, mounted equipment, or modeling errors. Therefore, designing a stabilizing controller that does not require exact prior knowledge of the vehicle mass is essential for improving flight reliability and robustness.
Hosseini Lagha,A . (2026). Robust Adaptive Integrator Backstepping Control for Quadrotor UAV Stabilization Under Unknown Mass Uncertainty. (e259). Aerospace Defense, 5(2), e259
MLA
Hosseini Lagha,A . "Robust Adaptive Integrator Backstepping Control for Quadrotor UAV Stabilization Under Unknown Mass Uncertainty" .e259 , Aerospace Defense, 5, 2, 2026, e259.
HARVARD
Hosseini Lagha A. (2026). 'Robust Adaptive Integrator Backstepping Control for Quadrotor UAV Stabilization Under Unknown Mass Uncertainty', Aerospace Defense, 5(2), e259.
CHICAGO
A Hosseini Lagha, "Robust Adaptive Integrator Backstepping Control for Quadrotor UAV Stabilization Under Unknown Mass Uncertainty," Aerospace Defense, 5 2 (2026): e259,
VANCOUVER
Hosseini Lagha A. Robust Adaptive Integrator Backstepping Control for Quadrotor UAV Stabilization Under Unknown Mass Uncertainty. Aerospace Defense. 2026;5(2):e259 (In Persian).
