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I have some simulation data for a discrete LTI system which are provided as unit step response models between the 5 inputs (rows) and 12 outputs (columns).
I'd like to convert the model to a state space representation in python-control but I'm not sure how to do that.
Based on what I've read so far, it seems like the best way is to convert the step response models to impulse response first, then use control.era() to get a state space representation. Am I on the right track?
Thanks,
Siang
The text was updated successfully, but these errors were encountered:
This functionality does not yet exist in the python-control toolbox (the era function is raises an "Not Implemented" exception). It would be great if you wanted to contribute this functionality via a pull request!
I have some simulation data for a discrete LTI system which are provided as unit step response models between the 5 inputs (rows) and 12 outputs (columns).
I'd like to convert the model to a state space representation in
python-control
but I'm not sure how to do that.Based on what I've read so far, it seems like the best way is to convert the step response models to impulse response first, then use
control.era()
to get a state space representation. Am I on the right track?Thanks,
Siang
The text was updated successfully, but these errors were encountered: