Subspace Identification Methods for Modal Analysis
Versione 1.0.5 (5,27 KB) da
Ayad Al-Rumaithi
Stochastic Subspace Identification(SSI), Deterministic Subspace Identification(DSI), Deterministic Stochastic Subspace Identification(DSSI)
System identification using subspace identification methods.
Along with the functions example file is provided for the identification of 2DOF system subject to gaussian white noise excitation with added uncertainty (also gaussian white noise) to both excitation and response.
Stochastic Subspace Identification(SSI)
function [Result]=SSI(output,fs,cut)
Input:
output: output data of size (No. output channels, No. of data)
fs: Sampling frequency
cut: cutoff value=2*no of modes
Outputs :
Result : A structure consist of the below components
Parameters : NaFreq : Natural frequencies vector
DampRatio : Damping ratios vector
ModeShape : Mode shape matrix
Matrices A,C: Discrete A and C matrices
-----------------------------------
Deterministic Subspace Identification(DSI)
function [Result]=DSI(output,input,fs,cut)
Input:
output: output data of size (No. output channels, No. of data)
input: input data of size (No. input channels, No. of data)
fs: Sampling frequency
cut: cutoff value=2*no of modes
Outputs :
Result : A structure consist of the below components
Parameters : NaFreq : Natural frequencies vector
DampRatio : Damping ratios vector
ModeShape : Mode shape matrix
Matrices A,B,C,D: Discrete A,B,C and D matrices
-----------------------------------
Deterministic Stochastic Subspace Identification(DSSI)
function [Result]=DSSI(output,input,fs,cut)
Input:
output: output data of size (No. output channels, No. of data)
input: input data of size (No. input channels, No. of data)
fs: Sampling frequency
cut: cutoff value=2*no of modes
Outputs :
Result : A structure consist of the below components
Parameters : NaFreq : Natural frequencies vector
DampRatio : Damping ratios vector
ModeShape : Mode shape matrix
Matrices A,B,C,D: Discrete A,B,C and D matrices
References:
-----------------
Van Overschee, Peter, and B. L. De Moor. Subspace identification for linear systems: Theory—Implementation—Applications. Springer Science & Business Media, 2012.
Cita come
Ayad Al-Rumaithi (2025). Subspace Identification Methods for Modal Analysis (https://it.mathworks.com/matlabcentral/fileexchange/69502-subspace-identification-methods-for-modal-analysis), MATLAB Central File Exchange. Recuperato .
Compatibilità della release di MATLAB
Creato con
R2017b
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS LinuxCategorie
Scopri di più su Linear Model Identification in Help Center e MATLAB Answers
Tag
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Scopri Live Editor
Crea script con codice, output e testo formattato in un unico documento eseguibile.
