2026-06-08T10:18:01Zhttps://docta.ucm.es/rest/oai/requestoai:docta.ucm.es:20.500.14352/533132024-08-21T14:35:34Zcom_20.500.14352_14col_20.500.14352_21
Using MILP for UAVs trajectory optimization under radar detection risk
Ruz Ortiz, José Jaime
Arévalo, Orlando
Cruz García, Jesús Manuel de la
Pajares Martínsanz, Gonzalo
004
Automation and Control Systems
Computer Science
Artificial Intelligence
Telecommunications
Informática (Informática)
1203.17 Informática
©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.
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.
Community of Madrid
Sección Deptal. de Arquitectura de Computadores y Automática (Físicas)
Fac. de Ciencias Físicas
TRUE
pub
2023-06-20T13:40:17Z
2023-06-20T13:40:17Z
2006
book part
https://hdl.handle.net/20.500.14352/53313
XXXX-XXXX
eng
COSICOLOGI S-0505/DPI-0391
open access
application/pdf
IEEE