Volterra Kernels Assessment via Time-Delay Neural Networks for Nonlinear Unsteady Aerodynamic Loading Identification-Reference-Cited by-同舟云学术

Volterra Kernels Assessment via Time-Delay Neural Networks for Nonlinear Unsteady Aerodynamic Loading Identification

Published:2019-04 Issue:4 Volume:57 Page:1725-1735
ISSN:0001-1452
Container-title:AIAA Journal
language:en
Short-container-title:AIAA Journal

Author:

de Paula Natália C. G.¹,Marques Flávio D.¹,Silva Walter A.²

Affiliation:

1. University of São Paulo, 13566-590 São Carlos, Brazil

2. NASA Langley Research Center, Hampton, VA 23681-0001

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Subject

Aerospace Engineering

Link

https://arc.aiaa.org/doi/pdf/10.2514/1.J057229

Reference30 articles.

1. Reduced-order modeling: new approaches for computational physics

2. Identification of Nonlinear Aeroelastic Systems Based on the Volterra Theory: Progress and Opportunities

3. Calculation of the Volterra kernels of non-linear dynamic systems using an artificial neural network

4. Johns Hopkins Series in Information Sciences and Systems;Rugh W.,1981

5. SilvaW. “Discrete-Time Linear and Nonlinear Aerodynamic Impulse Responses for Efficient CFD Analyses,” Ph.D. Thesis, College of William & Mary, Williamsburg, VA, Dec. 1997.

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