This article focuses on the event-based finite-time neural attitude consensus control problem
for the six-rotor unmanned aerial vehicle (UAV) systems with unknown disturbances. It is …

The quadrotor is an ideal platform for testing control strategies because of its non-linearity
and under-actuated configuration, allowing researchers to evaluate and verify control …

This paper proposes an auto-tuning adaptive proportional-integral-derivative control
(APIDC) system for attitude and position stabilization of quadrotor unmanned aerial vehicle …

In this article, an optimized tracking control scheme is studied for the quadrotor unmanned
aerial vehicle (QUAV) system by combining both reinforcement learning (RL) and the …

Aerial manipulators have the potential to perform various tasks with high agility and mobility,
but the requirement of system parameters and the complicated dynamic model impede the …

In this paper, a fuzzy adaptive output feedback dynamic surface sliding‐mode control
scheme is presented for a class of quadrotor unmanned aerial vehicles (UAVs). The …

This paper presents a robust adaptive nonlinear controller for a flying machine represented
by a quadrotor UAV (Unmanned Aerial Vehicle) in the presence of parasitic dynamics. A …

In this paper, a robust position and attitude tracking control problem of a quadrotor subject to
system nonlinearities, input coupling, aerodynamic uncertainties and external wind …

A quadcopter is underactuated where there are 6° of motion with only four rotors to control
all six motions. Varying the speed of the four rotors can produce thrust, roll, pitch and yaw …

Performance of the UAVs for a particular application can be enhanced by hybrid design,
where take‐off, hover, and landing happen like rotary‐wing UAVs, and flies like fixed‐wing …