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Data-Driven Reachability Analysis of Digital Twin FMI Models

Lookup NU author(s): Dr Sergiy BogomolovORCiD, Professor John FitzgeraldORCiD, Paulius Stankaitis

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Abstract

Digital Twins are an emerging technology which makes it possible to couple cyber-physical assets with their virtual representation in real-time. The technology is applicable to a variety of domains and facilitates a more intelligent and dependable system design and operation. In this paper, we address the challenge of analysing Digital Twins by proposing a simulation-based reachability analysis of models based on the Functional Mock-Up Interface standard. The analysis approach uses simulations to obtain the Lipschitz constant of the model which is then used to compute reachable states of the system. The approach also provides probabilistic guarantees on the accuracy of the computed reachable sets that are based on simulations of the system from random initial states.


Publication metadata

Author(s): Bogomolov S, Fitzgerald J, Soudjani S, Stankaitis P

Editor(s): Margaria, T; Steffen, B

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 11th International Symposium On Leveraging Applications of Formal Methods, Verification and Validation

Year of Conference: 2022

Number of Volumes: 4

Pages: 139-158

Online publication date: 17/10/2022

Acceptance date: 07/05/2022

Publisher: Springer Nature

URL: https://doi.org/10.1007/978-3-031-19762-8_10

DOI: 10.1007/978-3-031-19762-8_10

Library holdings: Search Newcastle University Library for this item

Series Title: Lecture Notes in Computer Science

Series Editor(s): Leveraging Applications of Formal Methods, Verification and Validation

ISBN: 9783031197611


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