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Structure Detection of Nonlinear Aeroelastic Systems with Application to Aeroelastic Flight Test DataThis viewgraph presentation reviews the 1. Motivation for the study 2. Nonlinear Model Form 3. Structure Detection 4. Least Absolute Shrinkage and Selection Operator (LASSO) 5. Objectives 6. Results 7. Assess LASSO as a Structure Detection Tool: Simulated Nonlinear Models 8. Applicability to Complex Systems: F/A-18 Active Aeroelastic Wing Flight Test Data. The authors conclude that 1. this is a novel approach for detecting the structure of highly over-parameterised nonlinear models in situations where other methods may be inadequate 2. that it is a practical significance in the analysis of aircraft dynamics during envelope expansion and could lead to more efficient control strategies and 3. this could allow greater insight into the functionality of various systems dynamics, by providing a quantitative model which is easily interpretable
Document ID
20060047737
Acquisition Source
Armstrong Flight Research Center
Document Type
Conference Paper
Authors
Kukreja, Sunil L.
(NASA Dryden Flight Research Center Edwards, CA, United States)
Brenner, martin J.
(NASA Dryden Flight Research Center Edwards, CA, United States)
Date Acquired
September 7, 2013
Publication Date
January 1, 2006
Subject Category
Aeronautics (General)
Meeting Information
Meeting: International Conference on Applicable Harmonic Analysis: Approximation and Computation
Location: Beijing
Country: China
Start Date: June 17, 2006
End Date: June 21, 2006
Funding Number(s)
CONTRACT_GRANT: NASW-99027
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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