scholarly journals An electronic notebook for physical system simulation

2003 ◽  
Author(s):  
Robert L. Kelsey
Keyword(s):  
Physical System ◽  
System Simulation ◽  
Physical System Simulation

SimConnect and SimTalk for distributed cyber-physical system simulation

SIMULATION ◽  
2013 ◽  
Vol 89 (10) ◽  
pp. 1254-1271 ◽  
Author(s):  
Dylan Pfeifer ◽  
Jonathan Valvano ◽  
Andreas Gerstlauer
Keyword(s):  
Physical System ◽  
System Simulation ◽  
Cyber Physical System ◽  
Physical System Simulation

scholarly journals SEED: A Scalable Approach for Cyber-Physical System Simulation

2016 ◽  
Vol 9 (2) ◽  
pp. 199-212 ◽  
Author(s):  
Peter Garraghan ◽  
David McKee ◽  
Xue Ouyang ◽  
David Webster ◽  
Jie Xu
Keyword(s):  
Physical System ◽  
System Simulation ◽  
Cyber Physical System ◽  
Physical System Simulation

scholarly journals Leveraging Digital Twin Technology in Model-Based Systems Engineering

Systems ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 7 ◽  
Author(s):  
Azad Madni ◽  
Carla Madni ◽  
Scott Lucero
Keyword(s):  
Systems Engineering ◽  
Physical System ◽  
System Simulation ◽  
Virtual Prototype ◽  
Digital Representation ◽  
Digital Twin ◽  
Model Based ◽  
Digital Twins ◽  
Status Data ◽  
Model Based Systems Engineering

Digital twin, a concept introduced in 2002, is becoming increasingly relevant to systems engineering and, more specifically, to model-based system engineering (MBSE). A digital twin, like a virtual prototype, is a dynamic digital representation of a physical system. However, unlike a virtual prototype, a digital twin is a virtual instance of a physical system (twin) that is continually updated with the latter’s performance, maintenance, and health status data throughout the physical system’s life cycle. This paper presents an overall vision and rationale for incorporating digital twin technology into MBSE. The paper discusses the benefits of integrating digital twins with system simulation and Internet of Things (IoT) in support of MBSE and provides specific examples of the use and benefits of digital twin technology in different industries. It concludes with a recommendation to make digital twin technology an integral part of MBSE methodology and experimentation testbeds.

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