Universidad Complutense de Madrid
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Using MILP for UAVs trajectory optimization under radar detection risk

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Ruz Ortíz, José Jaime y Arévalo, Orlando y Cruz García, Jesús Manuel de la y Pajares Martinsanz, Gonzalo (2006) Using MILP for UAVs trajectory optimization under radar detection risk. In 2006 IEEE Conference on Emerging Technologies & Factory Automation. IEEE, pp. 1187-1190. ISBN 978-0-7803-9758-3

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URL Oficial: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4178340&tag=1


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Resumen

This paper presents an approach to trajectories optimization for Unmanned Aerial Vehicle (UAV) in presence of obstacles, waypoints, and threat zones such as radar detection regions, using Mixed Integer Linear Programming (MILP). The main result is the linear approximation of a nonlinear radar detection risk function with integer constraints and indicator 0-1 variables. Several results are presented to show that the approach can yields trajectories depending on the acceptable risk of detection.


Tipo de documento:Sección de libro
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©2006 IEEE. IEEE International Conference on Emerging Technologies and Factory Automation (11th. sep 20-22, 2006 Praga, República Checa). This research was funded by the Community of
Madrid, project COSICOLOGI S-0505/DPI-0391.

Palabras clave:Automation and Control Systems, Computer Science, Artificial Intelligence, Telecommunications
Materias:Ciencias > Informática
Código ID:23768
Depositado:04 Dic 2013 13:44
Última Modificación:07 Feb 2014 11:07

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