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Subspace Identification Methods for Modal Analysis

version 1.0.4 (5.1 KB) by Ayad Al-Rumaithi
Stochastic Subspace Identification(SSI), Deterministic Subspace Identification(DSI), Deterministic Stochastic Subspace Identification(DSSI)

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Updated 18 Jun 2019

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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.

Cite As

Ayad Al-Rumaithi (2020). Subspace Identification Methods for Modal Analysis (https://www.mathworks.com/matlabcentral/fileexchange/69502-subspace-identification-methods-for-modal-analysis), MATLAB Central File Exchange. Retrieved .

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Updates

1.0.4

references

1.0.3

example modified

1.0.2

summary

1.0.1

functions are modified with example.Added description and figure

MATLAB Release Compatibility
Created with R2017b
Compatible with any release
Platform Compatibility
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