Using MILP for UAVs trajectory optimization under radar detection risk



Downloads per month over past year

Ruz Ortíz, José Jaime and Arévalo, Orlando and Cruz García, Jesús Manuel de la and 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

[thumbnail of cruzgarcia25.pdf]

Official URL:


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.

Item Type:Book Section
Additional Information:

©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.

Uncontrolled Keywords:Automation and Control Systems, Computer Science, Artificial Intelligence, Telecommunications
Subjects:Sciences > Computer science
ID Code:23768
Deposited On:04 Dec 2013 13:44
Last Modified:31 Dec 2020 00:02

Origin of downloads

Repository Staff Only: item control page