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Formal Properties of the Digital Twin – Implications for Learning, optimization, and Control

Research article (2020 IEEE 16th International Conference on Automation Science and Engineering (CASE), 2020) · cited 12× · AI/ML
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Formal Properties of the Digital Twin – Implications for Learning, optimization, and Control

Summary

Formal Properties of the Digital Twin – Implications for Learning, optimization, and Control is a scholarly article[1].

Key Facts

  • Formal Properties of the Digital Twin – Implications for Learning, optimization, and Control's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Formal Properties of the Digital Twin – Implications for Learning, optimization, and Control. Retrieved May 24, 2026, from https://4ort.xyz/entity/formal-properties-of-the-digital-twin-implications-for-learning-optimization-and-control
MLA “Formal Properties of the Digital Twin – Implications for Learning, optimization, and Control.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/formal-properties-of-the-digital-twin-implications-for-learning-optimization-and-control.
BibTeX @misc{4ortxyz_formal-properties-of-the-digital-twin-implications-for-learning-optimization-and-control_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Formal Properties of the Digital Twin – Implications for Learning, optimization, and Control}}, year = {2026}, url = {https://4ort.xyz/entity/formal-properties-of-the-digital-twin-implications-for-learning-optimization-and-control}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Formal Properties of the Digital Twin – Implications for Learning, optimization, and Control — https://4ort.xyz/entity/formal-properties-of-the-digital-twin-implications-for-learning-optimization-and-control (retrieved 2026-05-24)

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