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...

Full description

Saved in:

Bibliographic Details
Published in:	Nature Computational Science Vol. 1; no. 5; pp. 337 - 347
Main Authors:	Kapteyn, Michael G., Pretorius, Jacob V. R., Willcox, Karen E.
Format:	Journal Article
Language:	English
Published:	United States Nature Publishing Group 01.05.2021 Springer Nature
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!