Passification Based Simple Adaptive Control Of Quadrotor**The work was performed in the IPME RAS and supported by the Russian Science Foundation (grant 14-29-00142).

Stabilization and Tracking Control Algorithms for VTOL Aircraft: Theoretical and Practical Overview

“…In this way, Wenchao verified that the robustness of the whole system is guaranteed. Similarly, Tomashevich introduced the altitude and attitude control laws for the quadrotor based on the passivity method [44]; The simulation results demonstrate high efficiency and robustness with respect to the plant parametric uncertainty. Furthermore, a time-varying backstepping technique is presented by Santiaguillo-Salinas et al [39], where a 3D control tracking law is studied and applied experimentally on a quadrotor.…”

Development of Adaptive Control for an Asymmetric Quadcopter

“…Definable parameters are the inertia tensor and the quadcopter's mass Φ = (I x , I xy , I xz , I y , I yz , I z , M) T . The general form of the equation (1) can be written as (15).The identification algorithmis presented in the form of (16)(17)(18) with the initial conditions as in (19).…”

“…A quadcopter is an aircraft with four rotors. They are widespread, as evidenced by a large number of publications [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. With such devices, one can produce photo and video recording, deliver small loads and perform other tasks for monitoring the Earth's surface.…”

“…PD or PID -controllers [3,5,[8][9][10][11][12][13], linear-quadratic controller [1,2], the model predictive control [3,7], Backstepping Control [5,6], Sliding Mode Control [5] and Inverse Control [2,5,14], using neural networks [24] are the most popular controllers used for quadcopter control. There are also some adaptive algorithms for controlling a quadcopter [15][16][17].…”