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