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

Modelling and Control of Complex Cyber-Physical Ecosystems

Bujorianu, Manuela L; Caulfield, Tristan; Pym, David; (2022) Modelling and Control of Complex Cyber-Physical Ecosystems. In: IFAC-PapersOnLine. (pp. pp. 253-258). Elsevier Green open access

[thumbnail of 1-s2.0-S2405896323000873-main.pdf]
Preview
PDF
1-s2.0-S2405896323000873-main.pdf - Published Version

Download (484kB) | Preview

Abstract

In this paper, we set up a mathematical framework for the modelling and control of complex cyber-physical ecosystems. In our setting, cyber-physical ecosystems (CPES) are cyber-physical systems of systems that are highly connected. CPES are understood as open and adaptive cyber-physical infrastructures. These networked systems combine cyber-physical systems with an interaction mechanism with other systems and the environment (ecosystem capability). The main focus will be on modelling cyber and physical interfaces that play an important role on the control of the emergent properties like safety and security.

Type: Proceedings paper
Title: Modelling and Control of Complex Cyber-Physical Ecosystems
Event: 1st IFAC Workshop on Control of Complex Systems (COSY)
Location: Bologna, ITALY
Dates: 24 Nov 2022 - 25 Nov 2022
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.ifacol.2023.01.081
Publisher version: https://doi.org/10.1016/j.ifacol.2023.01.081
Language: English
Additional information: Copyright © 2022 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Keywords: Cyber-physical systems, complex ecosystems, interfaces, emergent properties, stochastic models, stochastic hybrid network
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/10166256
Downloads since deposit
28Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item