DocumentCode :
3173085
Title :
Stochastic Dynamic rogramming for Uncertainty Handling in UAV Operations
Author :
Girard, Anouck R. ; Dharba, Swaroop ; Pachter, Meir ; Chandler, Phillip R.
Author_Institution :
Univ. of Michigan, Ann Arbor
fYear :
2007
fDate :
9-13 July 2007
Firstpage :
1079
Lastpage :
1084
Abstract :
We present strategies for decision making under uncertainty and adversary action modeling for small UAV operations. Uncertainty comes from the stochastic nature of the environment and from incomplete knowledge of adversary actions/behaviors. A stochastic dynamic programming approach is used to optimize (continuous) resource allocation (fuel reserves) in the face of uncertainty. Different scenarios for adversary responses are considered and analyzed in simulation.
Keywords :
aircraft; dynamic programming; remotely operated vehicles; stochastic programming; uncertainty handling; UAV operations; adversary action modeling; adversary actions; adversary behaviors; continuous resource allocation; decision making; fuel reserves; stochastic dynamic programming; uncertainty handling; Cities and towns; Counting circuits; Dynamic programming; Fuels; Humans; Laboratories; Resource management; Stochastic processes; Uncertainty; Unmanned aerial vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2007. ACC '07
Conference_Location :
New York, NY
ISSN :
0743-1619
Print_ISBN :
1-4244-0988-8
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2007.4282950
Filename :
4282950
Link To Document :
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