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Grid-free computation of probabilistic safety with Malliavin Calculus

Abstract:
This work concerns continuous-time, continuous-space stochastic dynamical systems described by stochastic differential equations (SDE). It presents a new approach to compute probabilistic safety regions, namely sets of initial conditions of the SDE associated to trajectories that are safe with a probability larger than a given threshold. The approach introduces a functional that is minimised at the border of the probabilistic safety region, then solves an optimisation problem using techniques from Malliavin Calculus, which computes such region. Unlike existing results in the literature, the new approach allows one to compute probabilistic safety regions without gridding the state space of the SDE.
Publication status:
Published
Peer review status:
Not peer reviewed

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Publisher copy:
10.48550/arXiv.2104.14691
Publication website:
https://arxiv.org/abs/2104.14691v2

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Oxford college:
St Hugh's College
Role:
Author
ORCID:
0000-0003-2644-8906
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Oxford college:
Linacre College
Role:
Author
ORCID:
0000-0002-5627-9093


Publication date:
2021-04-29
DOI:


Language:
English
Pubs id:
1174293
Local pid:
pubs:1174293
Deposit date:
2023-01-13

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