Digital Z (model/shadow/twin/...)
University of Antwerp
Vendredi 21 octobre 2022, 15:30-16:30 EST
Au AA-3195 (Pavillon André-Aisenstadt)
Throughout their life-cycle (design, production, assembly, operation and optimization, maintenance, re-purposing, disposal), smart, adaptive systems will include ecosystems of Digital Zs (models/shadows/twins) to achieve a plethora of goals such as condition monitoring, fault diagnosis, predictive maintenance, optimization, etc. This builds on many existing techniques, architectures and standards from real-time simulation, co-simulation, systems and control theory, IoT, knowledge management, machine learning, surrogate modelling, etc. A short history of what is commonly referred to as Digital Twins will be presented. This leads to the exploration of family of goals and their associated architecture variants. Looking forward, the notion of a "cognitive" digital twin will be introduced.
Hans Vangheluwe is a professor in the Computer Science department of the University of Antwerp. His Modelling, Simulation and Design Lab (MSDL) is a core laboratory in the Design and Optimization cluster of Flanders Make, the strategic research centre for the Flemish manufacturing industry. In his research on multi-paradigm modelling, he studies the foundations and applications of modelling language engineering. This covers the entire spectrum, from acausal modelling languages such as Modelica for lumped parameter modelling of physical systems, to discrete-event simulation languages such as DEVS and GPSS to model software and production systems. He investigates modular combinations of these formalisms, of views and of abstractions. He develops scalable (meta-)modelling and (co-)simulation tools to help engineers design, build, optimise and maintain Cyber-Physical Systems. He was the co-founder and coordinator of the EU ESPRIT Basic Research Working Group 8467 "Simulation in Europe", a founding member of the Modelica language Design Team, and the chair of the EU COST Action IC1404 on Multi-Paradigm Modelling for Cyber-Physical Systems (MPM4CPS).