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Sean Shan-Min Swei

Researcher at Ames Research Center

Publications -  77
Citations -  634

Sean Shan-Min Swei is an academic researcher from Ames Research Center. The author has contributed to research in topics: Control theory & Computer science. The author has an hindex of 12, co-authored 70 publications receiving 458 citations. Previous affiliations of Sean Shan-Min Swei include Khalifa University & Massachusetts Institute of Technology.

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Journal ArticleDOI

Digital Morphing Wing: Active Wing Shaping Concept Using Composite Lattice-Based Cellular Structures

TL;DR: The mechanical design and structural performance of the digital morphing wing is described, including their relationship to wind tunnel tests that suggest the ability to increase roll efficiency compared to a conventional rigid aileron system.
Journal ArticleDOI

Elastic Shape Morphing of Ultralight Structures by Programmable Assembly.

TL;DR: A programmable material system applied as a large-scale, ultralight, and conformable aeroelastic structure that allows for enhanced elastic and global shape deformation in response to external loading, making it useful for tuned fluid-structure interaction.
Proceedings ArticleDOI

Relationship between Weather, Traffic and Delay Based on Empirical Methods

TL;DR: The computation of weather weighted traffic counts and its sensitivity to the choice of reference traffic days is studied and the model provides a methodology to characterize delay in the NAS.
Journal ArticleDOI

LPV Modeling of a Flexible Wing Aircraft Using Modal Alignment and Adaptive Gridding Methods.

TL;DR: The notion of σ-shifted and [Formula: see text]-norm are introduced and used as a metric to measure the model mismatch and a new modal alignment algorithm is developed which utilizes the defined metric for aligning all the local models over the entire gridded parameter space.
Journal ArticleDOI

Application of ICC LPV control to a blended-wing-body airplane with guaranteed H∞ performance

TL;DR: In this article, a convex optimization of Parameterized Linear Matrix Inequalities (PLMIs) is used to characterize the mixed ICC/H ∞ LPV control problem and develop the optimal state-feedback gain-scheduling controllers, while satisfying both input covariance and H ∞ constraints.