There are two indispensable methodologies for autonomous flights performed by unmanned
aerial vehicles (UAV). The first is flight control, and the other is simultaneous localization and …

Unmanned aerial vehicles (UAVs) have significant prospects in a plethora of public and civic
spheres. Recently, UAVs have focused primarily on applications where human presence is …

Unmanned aerial vehicles (UAVs) are advantageous in their high maneuverability for long-
range outdoor target tracking. In this paper, we develop a UAV-based target tracking and …

A novel bidirectional fuzzy brain emotional learning (BFBEL) controller is proposed to
control a class of uncertain nonlinear systems such as the quadcopter unmanned aerial …

Considering that the formation composed of light-weight UAVs is highly susceptible to the
interference, which may from the changes in the external environment and the uncertainty of …

This article proposes a continuous nonsingular terminal sliding-mode control with integral-
type sliding surface (CNTSMC-ISS) framework for disturbed systems, in which we consider …

In this article, we develop a methodology for trajectory tracking control of a vertical takeoff
and landing (VTOL) unmanned aerial vehicle (UAV) in the presence of unknown mass and …

This article presents a practical synthesized sliding-mode control (SSMC) scheme and, then,
applies it to quadrotor unmanned aerial vehicle (UAV) systems. A new adaptive law is …

The current light detection and ranging simultaneous localization and mapping (LiDAR-
SLAM) system suffers greatly from low accuracy and limited robustness when faced with …

This paper shows that the aerodynamic effects can be compensated in a quadrotor system
by means of a control allocation approach using neural networks. Thus, the system …