Robotic and mechatronic systems, autonomous vehicles, electric power systems and smart
grids, as well as manufacturing and industrial production systems can exhibit complex …

The past decades have witnessed an increase in the use of multirotor unmanned aerial
vehicles (UAVs). This has led the way to the development of fault-tolerant control algorithms …

In this paper, the dynamics modeling of coaxial octorotor UAVs is described taking into
account the majority of uncertain factors such as actuator faults, parametric deviations, and …

A nonlinear robust and adaptive backstepping control strategy is hierarchically proposed to
solve the trajectory tracking problem of hexacopter UAVs. Due to the under-actuated and …

Accurate trajectory tracking is a critical property of unmanned aerial vehicles (UAVs) due to
system nonlinearities, under-actuated properties and constraints. Specifically, the use of …

In precision agriculture, such as crop spraying, controlling UAVs presents various
challenges such as variable payload, inertial coefficient variation, influence of external …

In this article, the performance of the sliding mode control (SMC) that is combined with the
backpropagation neural network (NN) as the main control of quadrotor's dynamic systems …

This research proposes an intelligent backstepping control with an interval type-2 recurrent
fuzzy neural network (IBSCIT2RFNN), which can modify the inherent nonlinear and time …

The article proposes a nonlinear optimal control approach for the model of the autonomous
octorotor. This aerial drone has improved load transport capability due to being actuated by …

Aiming at the problems of slow convergence speed and low tracking accuracy in attitude
control and position tracking of quadrotor unmanned aerial vehicles (UAVs). This paper …