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I've been working with the dordvarx function for system identification purposes, where I used the parameter noD=1 to indicate that the direct feedthrough term should not be considered in the estimated model. However, when I subsequently use the dx2abcdk function to obtain the state-space matrices (A, B, C, D) from the identified model, I noticed that the D matrix is not a zero matrix as expected. I'm seeking clarification on why this is happening and if there's a specific reason the direct term is still present in the D matrix.
Additionally, I'm interested in estimating models where the C matrix is an identity matrix. Could you provide guidance or suggestions on how to enforce or achieve a C matrix that is an identity matrix during the system identification process with these functions?
Steps to Reproduce
Use dordvarx function with noD=1 parameter to identify a model from time-series data.
Apply dx2abcdk function to the identified model to obtain state-space matrices.
Observe that the D matrix is not a zero matrix.
Expected Behavior
When setting noD=1 in the dordvarx function, I expect the resulting D matrix (obtained after applying dx2abcdk) to be a zero matrix, indicating no direct feedthrough term in the identified model.
Environment
MATLAB version: MATLAB 2023b
Additional Context
Any insights or suggestions on how to estimate models with an identity matrix for C using these functions would also be greatly appreciated.
Thank you for your assistance.
The text was updated successfully, but these errors were encountered:
Issue Description
I've been working with the
dordvarx
function for system identification purposes, where I used the parameternoD=1
to indicate that the direct feedthrough term should not be considered in the estimated model. However, when I subsequently use thedx2abcdk
function to obtain the state-space matrices (A, B, C, D) from the identified model, I noticed that the D matrix is not a zero matrix as expected. I'm seeking clarification on why this is happening and if there's a specific reason the direct term is still present in the D matrix.Additionally, I'm interested in estimating models where the C matrix is an identity matrix. Could you provide guidance or suggestions on how to enforce or achieve a C matrix that is an identity matrix during the system identification process with these functions?
Steps to Reproduce
dordvarx
function withnoD=1
parameter to identify a model from time-series data.dx2abcdk
function to the identified model to obtain state-space matrices.Expected Behavior
When setting
noD=1
in thedordvarx
function, I expect the resulting D matrix (obtained after applyingdx2abcdk
) to be a zero matrix, indicating no direct feedthrough term in the identified model.Environment
Additional Context
Any insights or suggestions on how to estimate models with an identity matrix for C using these functions would also be greatly appreciated.
Thank you for your assistance.
The text was updated successfully, but these errors were encountered: