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

By W. Silva. 2005

237 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Control and Systems Engineering, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/775ca9a4e357f0695747de72bc1f9964dd13c92a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Lawrence A. Bergman
2. D. Michael McFarland
3. Alexander F. Vakakis
4. Young Sup Lee
5. Stylianos Tsakirtzis
6. Peretz P. Friedmann
7. Jack J. McNamara
8. Oleg V. Gendelman

In Control and Systems Engineering

1. Stylianos Tsakirtzis
2. D. Michael McFarland
3. Lawrence A. Bergman
4. Alexander F. Vakakis
5. Young Sup Lee
6. Peretz P. Friedmann
7. Jack J. McNamara

In Statistical and Nonlinear Physics

1. Lawrence A. Bergman
2. Jack J. McNamara
3. Stylianos Tsakirtzis
4. D. Michael McFarland
5. Alexander F. Vakakis
6. Young Sup Lee
7. Peretz P. Friedmann

Citations in the corpus

• Aeroelastic and Aerothermoelastic Analysis in Hypersonic Flow: Past, Present, and Future (2011, methodology): “Typical approaches for constructing aerodynamic ROMs are proper orthogonal decomposition (POD) [81–84], Volterra series [82,85], and surrogates [71,86–92].”
• A time-domain nonlinear system identification method based on multiscale dynamic partitions (2011, methodology): “On the other hand, nonparametric identification makes no presumptions regarding the model of the dynamics to be identified, focusing, for example, on optimal ‘functional’ representation of a system based on input-output mappings [ 6 ].”
• A global–local approach to nonlinear system identification: A review (2010, methodology): “For example, Silva [9] performed NSI using Volterra theory on aeroelastic systems, developed computationally efficient reduced-order models (ROMs) employing an Euler/ Navier–Stokes fluid solver, and finally derived analytically Volterra kernels for nonlinear aeroelastic systems from data of flight f”