• 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