Title :
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
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;
Conference_Titel :
American Control Conference (ACC), 2014
Conference_Location :
Portland, OR
Print_ISBN :
978-1-4799-3272-6
DOI :
10.1109/ACC.2014.6859306
