2020
DOI: 10.1007/s11071-020-05671-x
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Optimal model-free backstepping control for a quadrotor helicopter

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Cited by 62 publications
(26 citation statements)
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“…Hence, to control such a system, a backstepping method is the best choice [16,17]. Backstepping control is based on the Lyapunov stability principle of dynamic systems, and it is robust to parametric variation; thus, it ensures the stability of the system and gives good performances results.…”
Section: Introductionmentioning
confidence: 99%
“…Hence, to control such a system, a backstepping method is the best choice [16,17]. Backstepping control is based on the Lyapunov stability principle of dynamic systems, and it is robust to parametric variation; thus, it ensures the stability of the system and gives good performances results.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, the control methods for Euler-Lagrange (EL) systems have absorbed the concerns of many scholars due to the potential applications in the mechanical and electrical systems, such as robot manipulators [1,2], spacecraft systems [3,4], and quadrotor helicopters [5,6]. In view of this, the  E-mail address: guoyong@nwpu.edu.cn sliding mode control [7], neural network control [8], backstepping control [9], and fuzzy control [10] are widely employed in EL systems.…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, several disturbances observers have been properly reported in [28][29][30][31] for compositing interesting control schemes. Moreover, nonlinear controllers based on sliding modes [32][33][34] and backstepping [35][36][37] approaches have been suitably introduced to deal with disturbances and uncertainties in quadrotor vehicles and, in some studies, further extended for fault tolerant controllers. In addition, important contributions based on theories such as robust H ∞ control [38], model predictive control [39], generalized proportional-integral control [40], energy-based control [41,42], optimal control [21,43], Lyapunov-based control [44], adaptive control [45,46], etc., have vastly improved the performance of quadrotors in regulation and tracking tasks.…”
Section: Introductionmentioning
confidence: 99%