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contributor authorLussier, Jonathan
contributor authorHua, Edward Y.
contributor authorLedford, Allison
contributor authorThomas, Dale
contributor authorVan Bossuyt, Douglas L.
contributor authorWooley, Ana
date accessioned2026-08-23T07:52:51Z
date available2026-08-23T07:52:51Z
date copyright2025/12/01
date issued2025
identifier issn1530-9827
identifier otherjcise-25-1247.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4315751
description abstractAbstract. In recent years, the digital twin (DT) technology has become the subject of significant excitement as its potential to revolutionize many different industries has become clear. However, excitement around DT has led to an eagerness to label many models, simulations, and control systems (CSs) as DTs when they do not meet the strict definition of a DT. We posit that this mislabeling is partly due to the lack of a clear consensus on what is and is not a DT. In order to clarify the differences between DT and CS, this article reviews a number of current DT definitions for practical applicability, develops a refined definition, provides a method of differentiating between DTs and CSs, and presents use case studies to demonstrate the effectiveness of the method.
publisherThe American Society of Mechanical Engineers (ASME)
titleDifferentiating Between Digital Twins and Control Systems for Complex Systems
typeJournal Paper
journal volume25
journal issue12
journal titleJournal of Computing and Information Science in Engineering
identifier doi10.1115/1.4070329
journal fristpage17
journal lastpage25
page9
treeJournal of Computing and Information Science in Engineering:;2025:;volume( 025 ):;issue:012
contenttypeFulltext


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