Publication
Title
Multi-paradigm modelling of cyber-physical systems
Author
Abstract
The networking of multi-physics (mechanical, electical, hydraulic, biochemical, ...) with computational systems (control systems, signal processing, logical inferencing, planning, ... ) processes, interacting with often uncertain environments, with human actors, in a socio-economic context, leads to so-called Cyber-Physical Systems (CPS). Cyber-physical systems are reaching a hitherto unseen level of complexity. To date, no unifying theory nor systematic design methods, techniques and tools exist for such systems. Individual (mechanical, electrical, network or software) engineering disciplines only offer partial solutions. Multi-paradigm Modelling (MPM) proposes to model every part and aspect of such complex systems explicitly, at the most appropriate level(s) of abstraction, using the most appropriate modelling formalism(s). This includes the explicit modelling of the often complex engineering workflows. Modelling language engineering, including model transformation languages, and the study of the semantics of these languages, are used to realize MPM. MPM is seen as an effective answer to the challenges of designing CPS. This presentation introduces some of the challenges of collaborative development of CPS as well as possible multi-paradigm modelling solutions such as (in-)consistency management and cosimulation.
Language
English
Source (book)
Proceedings of 4th IEEE/ACM International Workshop on Software Engineering for Smart, Cyber-Physical Systems (SEsCPS), MAY 27-JUN 03, 2018, Gothenburg, SWEDEN
Publication
New york : Ieee , 2018
ISBN
978-1-4503-5728-9
978-1-4503-5728-9
Volume/pages
(2018) , p. 1
ISI
000449619800001
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Project info
A Multi-Paradigm Modeling Foundation for Collaborative Multi-view Model/System Development.
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 10.12.2018
Last edited 04.09.2021
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