[1] WANG N, DENG Q, XIE G, et al.Hybrid finite-time tra-jectory tracking control of a quadrotor[J].ISA Transactions, 2019, 90:278-286.
[2] MU C, ZHANG Y.Learning-based robust tracking control of quadrotor with time-varying and coupling uncertainties[J].IEEE Transactions on Neural Networks and Learning Systems, 2019, 31(1):259-273.
[3] GONZLEZ-ROCHA J, WOOLSEY C A, SULTAN C, et al.Sensing wind from quadrotor motion[J].Journal of Guidance, Control, and Dynamics, 2019, 42(4):836-852.
[4] SALIH A L, MOGHAVVEMI M, MOHAMED H A F, et al.Flight PID controller design for a UAV quadrotor[J].Scientific Research and Essays, 2010, 5(23):3660-3667.
[5] ABDOLHOSSEINI M, ZHANG Y M, RABBATH C A.An efficient model predictive control scheme for an unmanned quadrotor helicopter[J].Journal of Intelligent & Robotic Systems, 2013, 70(1-4):27-38.
[7] ZUO Z, RU P.Augmented L1 adaptive tracking control of quad-rotor unmanned aircrafts[J].IEEE Transactions on Aerospace and Electronic Systems, 2014, 50(4):3090-3101.
[9] DING L, LI Y.Optimal attitude tracking control for an unmanned aerial quadrotor under lumped disturbances[J].International Journal of Micro Air Vehicles, 2020, 12:1-14.
[10] LI S, DU H, LIN X.Finite-time consensus algorithm for multi-agent systems with double-integrator dynamics[J].Automatica, 2011, 47(8):1706-1712.