In today's world, the rapid development of aviation technologies, particularly unmanned
aerial vehicles (UAVs), presents new challenges and opportunities. UAVs are utilized across …

This paper presents the application of two swarm intelligence techniques, multi-objective
artificial bee colony (MOABC) and multi-objective particle swarm optimization (MOPSO), to …

Unmanned aerial vehicles (UAVs) require effective path planning algorithms to navigate
through complex environments. This study investigates the application of Deep Q-learning …

The proportional integral differential (PID) controller is improved to meet control system
requirements for the boost-glide rocket with difficulty in manual adjusting parameters. A …

The development of a flight control system for the class of small fixed wing Unmanned Aerial
Vehicle (UAV) imposes a challenge to the designers to achieve acceptable and stable …

To improve the trajectory tracking accuracy, the anti‐jamming performance, and the
environment adaptability of a quadrotor, the paper proposes a new adaptive trajectory …

The objective of the research was to design and simulate the lateral/directional dynamics
control of an aircraft's autopilot system to automate the landing approach execution …

Le taux d'accroissement des aléas naturels et des catastrophes causées par les sociétés
humaines, induit un besoin de solutions urgentes et effectives. Les incidents qui surgissent …

The study proposes the use of micro-robots that are capable of collaborating and adapting in
challenging and hazardous environments to replace human operators. Collaborative …

The study proposes the use of micro-robots that are capable of collaborating and adapting in
challenging and hazardous environments to replace human operators. Collaborative …