Traditional learning approaches proposed for controlling quadrotors or helicopters have
focused on improving performance for specific trajectories by iteratively improving upon a …

Light weight quadrotors are highly manoeuvrable autonomous aerial robots (UAV) that
outperform most UAVs; however, quadrotors are prone to a wide class of aerodynamic …

Accelerated advances in science and technology drive the need for professionals with
flexible problem-solving abilities towards a collaborative working environment. The …

In this paper, a robust control strategy is proposed to control the attitude and the altitude of
quadrotors, based on an uncertainty and disturbance estimator (UDE). It is shown that the …

Quadrotors are highly maneuverable lightweight drones, which are prone to aerodynamic
disturbances, vibrations, and uncertainties. These factors stand for a problem that demands …

A robust attitude quadrotor control based on a novel fractional order PI nonlinear structure is
proposed and experimentally validated. The proportional action depends on a nonlinear …

This work presents a novel trajectory tracking, hovering, and yaw motion control for
quadrotors subject to unknown modeling uncertainties and disturbances. Nonlinear …

Quadrotors are autonomous aerial vehicles widely developed in the last decade due to their
small size, low weight and vertical take off and landing capabilities. Nowadays, some …

In this paper, the robust consensus of the multiple quadrotors for formation flight is proposed
as a solution for the multi-agent system (MAS) problem. The Newton-Euler formulation is …

Abstract Quadrotors are Unmanned Aerial Systems (UAS), whose nonlinearities,
uncertainties, and unavoidable aerodynamic disturbances stand for a difficult control …