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
fDate :
June 29 2011-July 1 2011
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;
Conference_Titel :
American Control Conference (ACC), 2011
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4577-0080-4
DOI :
10.1109/ACC.2011.5991028
