Data-driven aerospace engineering: reframing the industry with machine learning
Data science, and machine learning in particular, is rapidly transforming the scientific and
industrial landscapes. The aerospace industry is poised to capitalize on big data and …
industrial landscapes. The aerospace industry is poised to capitalize on big data and …
[图书][B] Data-driven science and engineering: Machine learning, dynamical systems, and control
SL Brunton, JN Kutz - 2022 - books.google.com
Data-driven discovery is revolutionizing how we model, predict, and control complex
systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and …
systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and …
Data-driven sparse sensor placement for reconstruction: Demonstrating the benefits of exploiting known patterns
Optimal sensor and actuator placement is an important unsolved problem in control theory.
Nearly every downstream control decision is affected by these sensor and actuator …
Nearly every downstream control decision is affected by these sensor and actuator …
Spatial distribution of campaniform sensilla mechanosensors on wings: form, function, and phylogeny
Highlights•Campaniform sensilla (CS), distributed across insect wings, sense local wing
strain.•Placement of CS determines sensory information available to the animal.•CS …
strain.•Placement of CS determines sensory information available to the animal.•CS …
Stability of discrete empirical interpolation and gappy proper orthogonal decomposition with randomized and deterministic sampling points
This work investigates the stability of (discrete) empirical interpolation for nonlinear model
reduction and state field approximation from measurements. Empirical interpolation derives …
reduction and state field approximation from measurements. Empirical interpolation derives …
[HTML][HTML] Predicting shim gaps in aircraft assembly with machine learning and sparse sensing
K Manohar, T Hogan, J Buttrick, AG Banerjee… - Journal of manufacturing …, 2018 - Elsevier
A modern aircraft may require on the order of thousands of custom shims to fill gaps
between structural components in the airframe that arise due to manufacturing tolerances …
between structural components in the airframe that arise due to manufacturing tolerances …
A sparse sensor placement strategy based on information entropy and data reconstruction for ocean monitoring
Sparse sensor placement strategies are applied to reconstruct a region's full-state data
conditioned to a limited number of sensors; particularly, crucial to ocean monitoring systems …
conditioned to a limited number of sensors; particularly, crucial to ocean monitoring systems …
Optimized sampling for multiscale dynamics
The characterization of intermittent, multiscale, and transient dynamics using data-driven
analysis remains an open challenge. We demonstrate an application of the dynamic mode …
analysis remains an open challenge. We demonstrate an application of the dynamic mode …
Adaptive terminal sliding mode control for hypersonic flight vehicles with strictly lower convex function based nonlinear disturbance observer
Y Wu, J Zuo, L Sun - ISA transactions, 2017 - Elsevier
In this paper, the altitude and velocity tracking control of a generic hypersonic flight vehicle
(HFV) is considered. A novel adaptive terminal sliding mode controller (ATSMC) with strictly …
(HFV) is considered. A novel adaptive terminal sliding mode controller (ATSMC) with strictly …
Data mining of a clean signal from highly noisy data based on compressed data fusion: A fast-responding pressure-sensitive paint application
X Wen, Y Liu, Z Li, Y Chen, D Peng - Physics of Fluids, 2018 - pubs.aip.org
A data mining approach based on compressed data fusion is developed to extract a clean
signal from highly noisy data and it has been successfully applied to flow measurement …
signal from highly noisy data and it has been successfully applied to flow measurement …