A probabilistic graphical model foundation for enabling predictive digital twins at scale

A unifying mathematical formulation is needed to move from one-off digital twins built through custom implementations to robust digital twin implementations at scale. This work proposes a probabilistic graphical model as a formal mathematical representation of a digital twin and its associated physi...

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Veröffentlicht in:	Nature Computational Science Jg. 1; H. 5; S. 337 - 347
Hauptverfasser:	Kapteyn, Michael G., Pretorius, Jacob V. R., Willcox, Karen E.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Nature Publishing Group 01.05.2021 Springer Nature
Schlagworte:	Aerospace engineering Calibration Computational science Control theory Decision making Digital twin Digital twins Dynamical systems ENGINEERING Gas turbine engines Mathematical models MATHEMATICS AND COMPUTING Optimal control Polytopes Probabilistic graphical model Self awareness Self-aware vehicle Statistical methods System theory Uncertainty quantification Unmanned aerial vehicles Vehicles
ISSN:	2662-8457, 2662-8457
Online-Zugang:	Volltext
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