Development of an Automated Solution for the Error Analysis of MATLAB/Simulink-Based Digital Twins

This study aims to analyze various methods, including AI, that can be used to optimize error analysis in digital twins and highlight the advantages and disadvantages of these analysis methods. Furthermore, the study aims to present an automated solution for error analysis of MATLAB/Simulink-based digital twins. This solution can make the error analysis more efficient without the use of AI, meaning that it can be used even if the digital twin is not appropriately known, which can be a considerable advantage in the current automotive industry, where complex digital twins are commonly used for the development and optimization of E/E systems during different types of in-the-Loop simulations.

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Published
2025-11-10
DOI
https://doi.org/10.3390/engproc2025113049
Primary Topic
Digital Transformation in Industry
Type
article
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article

Development of an Automated Solution for the Error Analysis of MATLAB/Simulink-Based Digital Twins

István Szalay, D. Fodor, József Richárd Lennert
Digital Transformation in Industry
article

Development of an Automated Solution for the Error Analysis of MATLAB/Simulink-Based Digital Twins

István Szalay, D. Fodor, József Richárd Lennert
article en

Abstract

This study aims to analyze various methods, including AI, that can be used to optimize error analysis in digital twins and highlight the advantages and disadvantages of these analysis methods. Furthermore, the study aims to present an automated solution for error analysis of MATLAB/Simulink-based digital twins. This solution can make the error analysis more efficient without the use of AI, meaning that it can be used even if the digital twin is not appropriately known, which can be a considerable advantage in the current automotive industry, where complex digital twins are commonly used for the development and optimization of E/E systems during different types of in-the-Loop simulations.

Széchenyi István University (HU)
Openalex Percentile: Top 53%
Digital Transformation in Industry
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