DocumentCode :
2162805
Title :
Control theoretic tools for robust decision planning
Author :
Tierno, Jorge E. ; Khalak, Asif
Author_Institution :
Adv. Inf. Technol., BAE Syst., Burlington, MA, USA
fYear :
2007
fDate :
2-5 July 2007
Firstpage :
848
Lastpage :
853
Abstract :
Continuous planning is emerging as the leading solution to the problem of planning for systems with significant uncertainty. However, continuous planning can yield unexpected poor performance due to the necessary incompleteness of the system models used for planning. In this paper, we show how the ideas of plan repair and discount factors can be formalized, quantified, and extended to develop robust continuous planners. This is achieved without increasing computational complexity or requiring extensive additional modeling.
Keywords :
computational complexity; robust control; uncertain systems; computational complexity; control theoretic tools; discount factor; plan repair factor; robust continuous planner development; robust decision planning; system model incompleteness; uncertain systems; Maintenance engineering; Mathematical model; Planning; Robust control; Robustness; Uncertainty; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2007 European
Conference_Location :
Kos
Print_ISBN :
978-3-9524173-8-6
Type :
conf
Filename :
7068620
Link To Document :
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