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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:
Peer reviewed

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Publisher copy:
10.1109/TAC.2023.3239460

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Oxford college:
St Hugh's College
Role:
Author
ORCID:
0000-0003-2644-8906


Publisher:
IEEE
Journal:
IEEE Transactions on Automatic Control More from this journal
Volume:
68
Issue:
10
Pages:
6369 - 6376
Publication date:
2023-01-24
Acceptance date:
2022-12-27
DOI:
EISSN:
1558-2523
ISSN:
0018-9286


Language:
English
Keywords:
Pubs id:
1317629
Local pid:
pubs:1317629
Deposit date:
2023-01-04

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