Collision Avoidance Effects on the Mobility of a UAV Swarm Using Chaotic Ant Colony with Model Predictive Control

The recent development of compact and economic small Unmanned Aerial Vehicles (UAVs) permits the development of new UAV swarm applications. In order to enhance the area coverage of such UAV swarms, a novel mobility model has been presented in previous work, combining an Ant Colony algorithm with cha...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of intelligent & robotic systems Jg. 93; H. 1-2; S. 227 - 243
Hauptverfasser:	Dentler, Jan, Rosalie, Martin, Danoy, Grégoire, Bouvry, Pascal, Kannan, Somasundar, Olivares-Mendez, Miguel A., Voos, Holger
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.02.2019 Springer Springer Nature B.V Springer Verlag
Schlagworte:	Algorithms Analysis Ant colony optimization Artificial Intelligence Chaotic Dynamics Collision avoidance Collision dynamics Computer Science Control Drone aircraft Dynamical Systems Economic models Electrical Engineering Engineering Evacuations & rescues Experimentation Mathematics Mechanical Engineering Mechatronics Miniature aircraft Nonlinear Sciences Optimization Optimization and Control Performance evaluation Pheromones Predictive control Robot dynamics Robotics Robots Systems and Control Tracking Unmanned aerial vehicles Waypoints MPC Coverage metric Area exploration Chaotic dynamics UAV Swarm Model predictive control Chaotic ant colony optimization Collision avoidance metric CACOC Unmanned aerial vehicles Rössler system Collision avoidance Search & rescue Mobility model Area coverage CA
ISSN:	0921-0296, 1573-0409
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!