A WAVELET-BASED APPROACH FOR THE IDENTIFICATION OF LINEAR TIME-VARYING DYNAMICAL SYSTEMS
By Roger G. Ghanem, Francesco Lohengrin Romeo. 2000
188 citations recorded by the source corpus.
Subfields: Applied Mathematics, Computer Vision and Pattern Recognition, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/bd1a78cb91b419e6109081e3174cce3a067f630a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Mathematics
- Satish Nagarajaiah
- Biswajit Basu
- Spilios D. Fassois
- Arun Chakraborty
- Aggelos G. Poulimenos
- Minas Spiridonakos
In Computer Vision and Pattern Recognition
- Satish Nagarajaiah
- Biswajit Basu
- Spilios D. Fassois
- Arun Chakraborty
- Aggelos G. Poulimenos
- Minas Spiridonakos
In Control and Systems Engineering
- Satish Nagarajaiah
- Biswajit Basu
- Spilios D. Fassois
- Arun Chakraborty
- Aggelos G. Poulimenos
- Minas Spiridonakos
Citations in the corpus
- Online Identification of Linear Time-varying Stiffness of Structural Systems by Wavelet Analysis (2008, methodology): “Being capable of retaining local frequency content information and its variation with time and having the advantage of flexible windowing over short time Fourier transform, wavelet transform methods have become powerful as techniques to identify time varying and non-linear systems [2,3,13,14,17,21,3”
- Output-only identification and dynamic analysis of time-varying mechanical structures under random excitation: A comparative assessment of parametric methods (2010, methodology): “In many cases it is useful to identify a model of a TV structure which may be subsequently used for dynamic analysis [7–11], for the refinement of analytical models [12], for simulation [13], for damage detection and identification [14–16], as well as for prediction and control [17].”
- Harmonic wavelets based statistical linearization for response evolutionary power spectrum determination (2012, unknown): “[13–17]).”