This paper presents a novel algorithm named the motion-encoded particle swarm optimization (MPSO) for finding a moving target with unmanned aerial vehicles (UAVs) …
MS Zatout, A Rezoug, A Rezoug… - International Journal of …, 2022 - Taylor & Francis
Bio-inspired optimisation algorithms have recently attracted much attention in the control community. Most of these algorithms mimic particular behaviours of some animal species in …
SH Derrouaoui, Y Bouzid, M Guiatni - Journal of Intelligent & Robotic …, 2021 - Springer
Abstract Transformable Unmanned Aerial Systems (UASs) are increasingly attracting attention in recent years due to their maneuverability, agility and morphological capacities …
SMA Pahnehkolaei, A Alfi, JAT Machado - Applied Soft Computing, 2021 - Elsevier
This paper presents a comprehensive study of the Particle Swarm Optimization (PSO) algorithm, called complex-order PSO (CPSO). In the core of new set of algorithms, we …
X Zhang, W Zhao, C Liu, J Li - Drones, 2023 - mdpi.com
In this paper, a distributed, autonomous, cooperative mission-planning (DACMP) approach was proposed to focus on the problem of the real-time cooperative searching and …
A Kaba - Aircraft Engineering and Aerospace Technology, 2021 - emerald.com
Purpose The purpose of this paper is to develop, extend and propose an improved proportional integral derivative (PID) rate control of a quadrotor unmanned aerial vehicle …
JJ Wang, GY Liu - Swarm and Evolutionary Computation, 2019 - Elsevier
This paper presents a novel saturated control method for a quadrotor to realize three– dimensional spatial trajectory tracking with heterogeneous comprehensive learning particle …
Nowadays, it is of paramount importance for human health the monitoring and modelling of air quality. Among the different pollutants, there are some that are considerable more difficult …