This paper presents a review of the various control strategies that have been conducted to
address and resolve several challenges for a particular category of unmanned aerial …

In this paper, an intelligent Model Reference Adaptive Control (MRAC) based on a neural
network is proposed for robust tracking control of quadrotor UAV under external …

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 …

Unmodelled dynamic factors are either the left-over or the estimated factors such as lower or
upper bound values while modelling any mechatronic system. Hence, with the inclusion of …

This manuscript presents an intelligent control design for the helical trajectory tracking of an
underactuated quadrotor. One may see that the entire kinematics and dynamics are derived …

In this article, optimum adaptive sliding mode controller (ASMC) optimized by particle swarm
optimization (PSO) algorithm is designed to solve the trajectory tracking control problems of …

The main aim of this manuscript is to design and demonstrate the performance of different
control algorithms with position estimator and disturbance observer to track the helical …

Purpose Deployment of deep neural networks on embedded devices is becoming
increasingly popular because it can reduce latency and energy consumption for data …

Sliding Mode Control (SMC) is a popular nonlinear controller for quadrotor UAVs due to its
robustness, fast response, and ability to handle complex dynamics. However, it suffers from …

The main goal of the research is to design a low-cost, performing quadrotor unmaned aerial
vehicle (UAV) system. Because of low cost limits, the performance must be ensured by other …