DocumentCode :
2582690
Title :
Variational inequalities for the stochastic reachability problem
Author :
Bujorianu, Manuela L.
Author_Institution :
Sch. of Math., Univ. of Manchester, Manchester, UK
fYear :
2010
fDate :
15-17 Dec. 2010
Firstpage :
1854
Lastpage :
1859
Abstract :
Unlike the pure discrete or continuous cases, for stochastic hybrid systems the reachability analysis is still a difficult problem. The early mathematical approaches to the stochastic reachability turned out into constructive verification methods with tool support from dynamic programming. This line of research suggests the need for a deeper mathematical investigation of connections between reachability based verification and optimal control for stochastic hybrid systems. In this paper, we prove a new characterization of the stochastic reachability problem in terms of variational inequalities on Hilbert spaces. These inequalities are well studied in stochastic optimal control, for which theoretical and numerical methods exist.
Keywords :
Hilbert spaces; dynamic programming; optimal control; probability; reachability analysis; stochastic systems; variational techniques; Hilbert spaces; constructive verification methods; dynamic programming; optimal control; reachability analysis; reachability based verification; stochastic hybrid systems; stochastic reachability problem; variational inequality; Energy measurement; Generators; Hilbert space; Markov processes; Trajectory; Markov models; energy form; stochastic hybrid systems; stochastic reachability; variational inequalities;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location :
Atlanta, GA
ISSN :
0743-1546
Print_ISBN :
978-1-4244-7745-6
Type :
conf
DOI :
10.1109/CDC.2010.5718059
Filename :
5718059
Link To Document :
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