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Cited by 298Digital Transformation in IndustryModeling and Simulation SystemsSystems Engineering Methodologies and Applications

A Simulation-Based Architecture for Smart Cyber-Physical Systems

Gabor, Thomas, Belzner, Lenz, Kiermeier, Marie, Beck, Michael Till, Neitz, Alexander·2016·2016 IEEE International Conference on Autonomic Computing (ICAC)
DOI 10.1109/icac.2016.29
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Abstract

In order to accurately predict future states of a smart cyber-physical system, which can change its behavior to a large degree in response to environmental influences, the existence of precise models of the system and its surroundings is demandable. In machine engineering, ultra-high fidelity simulations have been developed to better understand both constraints in system design and possible consequences of external influences during the system's operation. These digital twins enable further applications in software design for complex cyber-physical systems as online planning methods can utilize good simulations to continuously optimize the system behavior, yielding a software architecture framework based on the information flow between the cyber-physical system, its physical environment and the digital twin model.

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Crossref · 10.1109/icac.2016.29

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2 of 2 references verified0 citation errors · 0 not checkable

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  • Dealing with a constant flux of data makes it also possible to apply Artificial Intelligence (AI) and Machine Learning (ML) techniques to IoT systems based on Digital Twin.

    “Dealing with a constant flux of data makes it also possible to apply Artificial Intelligence (AI) and Machine Learning (ML) techniques to IoT systems based on Digital Twin [51][52][53] [54].”

    From Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020) · cites this paper as [51]

  • Many papers reference Digital Twin identity as a major requirement, but few try to define it.

    “Many papers reference it as a major requirement, a few try to define it, e.g., [51].”

    From Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020) · cites this paper as [51]

  • Some properties are generally considered valid, e.g., Identity and Representation in [51], Identity and Communication in [56], and Entanglement is substantially addressed by the definition of Tactile Internet [15] and extensively used in DT implementation practice.

    “Some properties are generally considered valid, e.g., Identity, Representation in [51], Identity, Communication and others in [56], Entanglement is substantially addressed by the definition of Tactile Internet [15], and extensively used in the practice of the implementation of the DT.”

    From Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020) · cites this paper as [51]

  • There is a need to create large, continuously running complex systems devoted to predicting Digital Twins' behavior in particular situations or environments.

    “This is an important signal of the need to create large, continuously running complex systems devoted to the prediction of Digital Twins' behavior in particular situations or environments [33][191].”

    From Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020) · cites this paper as [191]

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Authors
Gabor, T., Belzner, L., Kiermeier, M., Beck, M. T., & Neitz, A.
Affiliations
Ludwig-Maximilians-Universität München (DE)
ORCID
Venue
2016 IEEE International Conference on Autonomic Computing (ICAC)
Publisher
IEEE
Published
2016-07
Pages
374-379
DOI
10.1109/icac.2016.29
OpenAlex
W2521497315
Cited by
298
References
2
Citations by year
2026: 11 · 2025: 33 · 2024: 41 · 2023: 43 · 2022: 42 · 2021: 44 · 2020: 31 · 2019: 36 · 2018: 12 · 2017: 4 · 2016: 1
FWCI
29.38
Type
conference paper
Language
en
Open access
closed
Locations
IEEE International Conference on Autonomic Computing (ICAC) (publishedVersion)
Topics
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Modeling and Simulation Systems
  • Physical Sciences › Engineering › Control and Systems Engineering › Systems Engineering Methodologies and Applications
Keywords
smart cyber-physical systems, digital twin, software architecture framework, online planning, information flow, system modeling, machine-building industry

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