UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Cyber-Physical Ecosystems: Modelling and Verification

Bujorianu, Luminita-Manuela; (2023) Cyber-Physical Ecosystems: Modelling and Verification. In: International Conference on Engineering of Computer-Based Systems ECBS 2023: Engineering of Computer-Based Systems. (pp. pp. 215-230). Springer, Cham

[thumbnail of Bujorianu_LNCS_ECBS_fin.pdf] Text
Bujorianu_LNCS_ECBS_fin.pdf - Accepted Version
Access restricted to UCL open access staff until 30 November 2024.

Download (289kB)

Abstract

In this paper, we set up a mathematical framework for the modelling and verification of complex cyber-physical ecosystems. In our setting, cyber-physical ecosystems are cyber-physical systems of systems that are highly connected. These are networked systems that combine cyber-physical systems with an interaction mechanism with other systems and the environment (ecosystem capability). Our contribution will be on two streams: (i) modelling the constituent systems and their interfaces, and (ii) local/global verification of cyber-physical ecosystems. We introduce a concept of basic model, whose skeleton is a Markov decision process and we propose a verification based abstraction methodology.

Type: Proceedings paper
Title: Cyber-Physical Ecosystems: Modelling and Verification
Event: International Conference on Engineering of Computer-Based Systems
ISBN-13: 9783031492518
DOI: 10.1007/978-3-031-49252-5_17
Publisher version: http://dx.doi.org/10.1007/978-3-031-49252-5_17
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: cyber-physical ecosystem, Markov model, reachability, abstraction
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10188532
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item