A Hardware Testbed for Dynamic Data-Driven Aerospace Digital Twins (DDDAS/InfoSymbiotics 2020)

by Michael Kapteyn

This week (October 2-4, 2020), I attended the third international conference on Dynamic Data-driven Application Systems (DDDAS). Recorded presentations and abstracts can be found on the conference website, while papers can be found in the conference proceedings, published in Springer's Lecture Notes in Computer Science book series.

I was a co-author on two papers related to my research developing a UAV digital twin:

Predictive digital twins: Where dynamic data-driven learning meets physics-based modeling
[Presentation recording] [Slides] [Paper]
My advisor Professor Karen Willcox presented an opening keynote talk that broadly describes our philosophy and research on digital twins.

A Hardware Testbed for Dynamic Data-Driven Aerospace Digital Twins
[Presentation recording] [Slides] [Paper]
This paper presents the UAV hardware platform that our group has been developing in order to test and demonstrate our digital twin and self-aware UAV models and algorithms.

Information model for the self-aware UAV system