Improving Flexibility of Multivariate Spline Model Structures for Aerodynamic Modeling-Reference-Cited by-同舟云学术

Improving Flexibility of Multivariate Spline Model Structures for Aerodynamic Modeling

Published:2017-09 Issue:5 Volume:30 Page:04017044
ISSN:0893-1321
Container-title:Journal of Aerospace Engineering
language:en
Short-container-title:J. Aerosp. Eng.

Author:

Sun Liguo¹^ORCID,de Visser Coen²,Chu Qiping³,Wang Yanyang⁴

Affiliation:

1. Associate Professor, School of Aeronautic Science and Engineering, Beihang Univ., Beijing 100191, P.R. China. ORCID:

2. Assistant Professor, Dept. of Control and Operation, Faculty of Aerospace Engineering, Delft Univ. of Technology, 2600 GB, Delft, Netherlands.

3. Associate Professor, Dept. of Control and Operation, Faculty of Aerospace Engineering, Delft Univ. of Technology, 2600 GB, Delft, Netherlands.

4. Assistant Professor, School of Aeronautic Science and Engineering, Beihang Univ., Beijing 100191, P.R. China (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Aerospace Engineering,General Materials Science,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29AS.1943-5525.0000755

Reference31 articles.

1. Tensor-product spline interpolation to data on or near a family of lines

2. On convergence rate of the augmented Lagrangian algorithm for nonsymmetric saddle point problems

3. Chowdhary G. and Jategaonkar R. (2006). “Aeronynamic parameter estimation from flight data applying extended and unscented Kalman filter.” AIAA Atmospheric Flight Mechanics Conf. American Institute of Aeronautics and Astronautics Reston VA.

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