DocumentCode
2850886
Title
Strobing optimization in a mobile sensor system associated with the pursuit problem
Author
Bentsman, J. ; Rubinovich, E.Ya.
Author_Institution
Dept. of Mech. Sci. & Eng., Univ. of Illinois at Urbana-Champaign, Urbana, OH, USA
fYear
2011
fDate
June 29 2011-July 1 2011
Firstpage
3621
Lastpage
3626
Abstract
Strobing optimization in a pursuit problem with dynamic linear objects in discrete time involving mobile sensor of radar or sonar type is considered. This problem is formally represented as that of maximizing confidence probability of the pursuer-target system state. Through recasting the latter problem into that of stochastic optimal control, a recursive procedure is obtained that provides an optimal solution.
Keywords
radar detection; sonar detection; dynamic linear objects; mobile sensor system; probability; pursuer-target system state; pursuit problem; radar type; recursive procedure; sonar type; stochastic optimal control; strobing optimization; Covariance matrix; Equations; Kalman filters; Logic gates; Mathematical model; Optimal control; Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2011
Conference_Location
San Francisco, CA
ISSN
0743-1619
Print_ISBN
978-1-4577-0080-4
Type
conf
DOI
10.1109/ACC.2011.5991028
Filename
5991028
Link To Document