Interpretable Aeroelastic Models for Control at Insect Scale
Dr. Michelle Hickner
Abstract
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AI Outline
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Interpretable Aeroelastic Models for Control at Insect Scale
Michelle Hickner
University of Washington
Associated AIAA Journal article
Article of record
In this video, Michelle Hickner describes a data-driven modeling technique for aeroelastic systems and demonstrates how the interpretable model can aid in controller design.
References
Grants
- National Science Foundation2112085Air Force Office of Scientific ResearchFA9550-19-1-0386
Research Abstracts from Brunton Lab
Brunton Lab (University of Washington)Cite as
M. Hickner (2022, September 29), Interpretable Aeroelastic Models for Control at Insect Scale
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Details
Listed seminar This seminar is open to all
Recorded Available to all
Video length 16:53
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