Multi-modeling Approach to Performance Engineering of Cyber-Physical Systems Design

2017 ◽  
Author(s):  
Lorenzo Pagliari ◽  
Raffaela Mirandola ◽  
Catia Trubiani
Keyword(s):  
Systems Design ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Performance Engineering ◽  
Modeling Approach

scholarly journals IoT-Based Digital Twin for Energy Cyber-Physical Systems: Design and Implementation

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4762 ◽  
Author(s):  
Ahmed Saad ◽  
Samy Faddel ◽  
Osama Mohammed
Keyword(s):  
Power Systems ◽  
Systems Design ◽  
Cyber Physical Systems ◽  
Superior Performance ◽  
Physical Systems ◽  
Digital Twin ◽  
Power And Control ◽  
Amazon Web Services ◽  
High Bandwidth ◽  
And Control

With the emergence of distributed energy resources (DERs), with their associated communication and control complexities, there is a need for an efficient platform that can digest all the incoming data and ensure the reliable operation of the power system. The digital twin (DT) is a new concept that can unleash tremendous opportunities and can be used at the different control and security levels of power systems. This paper provides a methodology for the modelling of the implementation of energy cyber-physical systems (ECPSs) that can be used for multiple applications. Two DT types are introduced to cover the high-bandwidth and the low-bandwidth applications that need centric oversight decision making. The concept of the digital twin is validated and tested using Amazon Web Services (AWS) as a cloud host that can incorporate physical and data models as well as being able to receive live measurements from the different actual power and control entities. The experimental results demonstrate the feasibility of the real-time implementation of the DT for the ECPS based on internet of things (IoT) and cloud computing technologies. The normalized mean-square error for the low-bandwidth DT case was 3.7%. In the case of a high-bandwidth DT, the proposed method showed superior performance in reconstructing the voltage estimates, with 98.2% accuracy from only the controllers’ states.

scholarly journals Towards Cyber-Physical Systems Design for Structural Health Monitoring

2017 ◽  
Vol 1 (4) ◽  
pp. 1-26 ◽  
Author(s):  
Md Zakirul Alam Bhuiyan ◽  
Jie Wu ◽  
Guojun Wang ◽  
Jiannong Cao ◽  
Wenjun Jiang ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Systems Design ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Structural Health
Sign in / Sign up

Export Citation Format

Share Document