Moesp using input and output Data
MOESP Multivariable Output Error State Space Approach of Subspace Identification
[SS,SSMAT, A,B,C,D, Results_summary] = moesp_with_Data(u, y)
identifies the observable subspace based on the measured (N by ny) output matrix,
y with N sampling points and ny variables, and the corresponding N by nu input matrix, u.
This function depends on (moesp.m) by Yi Cao "https://www.mathworks.com/matlabcentral/fileexchange/19728-multivariable-subspace-identification--moesp"
With this new function you can identify subspace from given data, instead of simulating generated data.
Example:
% Example data for inputs and outputs are provided in 'inputs_and_outputs.mat'
load('inputs_and_outputs.mat') % this contains inputs and outputs matrices
[SS,SSMAT, A,B,C,D, Results_summary] = moesp_with_Data(inputs, outputs)
Zitieren als
ahmed (2024). Moesp using input and output Data (https://www.mathworks.com/matlabcentral/fileexchange/65180-moesp-using-input-and-output-data), MATLAB Central File Exchange. Abgerufen .
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Inspiriert von: Multivariable Subspace Identification: MOESP, Worked Example of Multivariable Subspace Identification: MOESP
Inspiriert: Worked Example of Multivariable Subspace Identification: MOESP
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Moesp_with_Data/
Version | Veröffentlicht | Versionshinweise | |
---|---|---|---|
1.0.0.0 | Updated Title to be more informative |