| contributor author | Lussier, Jonathan | |
| contributor author | Hua, Edward Y. | |
| contributor author | Ledford, Allison | |
| contributor author | Thomas, Dale | |
| contributor author | Van Bossuyt, Douglas L. | |
| contributor author | Wooley, Ana | |
| date accessioned | 2026-08-23T07:52:51Z | |
| date available | 2026-08-23T07:52:51Z | |
| date copyright | 2025/12/01 | |
| date issued | 2025 | |
| identifier issn | 1530-9827 | |
| identifier other | jcise-25-1247.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4315751 | |
| description abstract | Abstract. 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. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Differentiating Between Digital Twins and Control Systems for Complex Systems | |
| type | Journal Paper | |
| journal volume | 25 | |
| journal issue | 12 | |
| journal title | Journal of Computing and Information Science in Engineering | |
| identifier doi | 10.1115/1.4070329 | |
| journal fristpage | 17 | |
| journal lastpage | 25 | |
| page | 9 | |
| tree | Journal of Computing and Information Science in Engineering:;2025:;volume( 025 ):;issue:012 | |
| contenttype | Fulltext | |