Title :
Variational inequalities for the stochastic reachability problem
Author :
Bujorianu, Manuela L.
Author_Institution :
Sch. of Math., Univ. of Manchester, Manchester, UK
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;
Conference_Titel :
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-7745-6
DOI :
10.1109/CDC.2010.5718059