DocumentCode
3314068
Title
Dealing with stochastic reachability
Author
Bujorianu, Manuela L.
Author_Institution
Sch. of Math., Univ. of Manchester, Manchester, UK
fYear
2009
fDate
15-18 Dec. 2009
Firstpage
2935
Lastpage
2940
Abstract
For stochastic hybrid systems, stochastic reachability is very little supported mainly because of complexity and difficulty of the associated mathematical problems. In this paper, we develop two main directions of studying stochastic reachability as an optimal stopping problem. The first approach studies the hypotheses for the dynamic programming corresponding with the optimal stopping problem for stochastic hybrid systems. In the second approach, we investigate the reachability problem considering approximations of stochastic hybrid systems. The main difficulty arises when we have to prove the convergence of the value functions of the approximating processes to the value function of the initial process. An original proof is provided.
Keywords
Markov processes; approximation theory; continuous time systems; dynamic programming; nonlinear dynamical systems; optimal control; reachability analysis; stochastic systems; Markov processes; approximating processes; dynamic programming; nonlinear stochastic continuous hybrid dynamical systems; optimal control problems; optimal stopping problem; stochastic hybrid systems; stochastic reachability; Convergence; Dynamic programming; Embedded system; Markov processes; Mathematics; Postal services; Reachability analysis; Stochastic processes; Stochastic systems; Uncertainty; Markov model; capacity; hybrid systems; reachability;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location
Shanghai
ISSN
0191-2216
Print_ISBN
978-1-4244-3871-6
Electronic_ISBN
0191-2216
Type
conf
DOI
10.1109/CDC.2009.5400673
Filename
5400673
Link To Document