Optimal perimeter patrol via max-plus probability

Author

Fitzpatrick, Ben G. ; Holmbeck-Cannell, Kristin ; Laffin, Matthew ; Yun Wang

Author_Institution

Dept. of Math., Loyola Marymount Univ., Los Angeles, CA, USA

fYear

2014

fDate

4-6 June 2014

Firstpage

5248

Lastpage

5253

Abstract

This paper addresses a perimeter patrol problem involving control of unmanned air vehicles. Around the perimeter of a protected area are placed a number of unmanned ground stations. These stations send alert signals which are investigated by the unmanned air vehicles. We present an approach to optimization of vehicle tasking based on max-plus probabilistic models and computational schemes.

Keywords

autonomous aerial vehicles; military aircraft; optimal control; optimisation; probability; alert signals; computational schemes; max-plus probabilistic models; optimal perimeter patrol problem; optimization; protected area perimeter; unmanned air vehicles control; unmanned ground stations; vehicle tasking; Approximation methods; Computational modeling; Dynamic programming; Equations; Mathematical model; Standards; Stochastic processes; Autonomous systems; Emerging control theory; Markov processes;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference (ACC), 2014

Conference_Location

Portland, OR

ISSN

0743-1619

Print_ISBN

978-1-4799-3272-6

Type

conf

DOI

10.1109/ACC.2014.6859306

Filename

6859306

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=184832