Tfest
Transfer function estimation with frequency response. Python equivalent of MATLAB tfest (but the algorithm is not exactly the same)
Only works wuth SISO systems for now.
Installation:
pip install tfest
Example:
To get a scipy transfer function:
import tfest
# u: input
# y: output
te = tfest.tfest(u, y)
# n_zeros, n_poles
te.estimate(3, 4, time=1)
te.get_transfer_function()
"time" is simulation length in seconds. To plot its bode diagram:
te.plot_bode()
Default method to calculate the frequency response Y/U is H1 estimator, if you want to use H2 or frequency/frequency just set the method to "h2" or "fft" and specify the time length of the simulation (in seconds, default is 1):
te.estimate(3, 4, method="h2", time=1)
te.estimate(3, 4, method="fft", time=1)
To use L1 normalization set the value of lambda l1 (default l1=0):
te.estimate(3, 4, time=1, l1=0.1)
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Release files for tfest 0.2.3
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Source distribution (sdist)
| File | Size | Uploaded | |
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| tfest-0.2.3.tar.gz | 3.3 kB | Details |
Release files / tfest-0.2.3.tar.gz
| Download URL | tfest-0.2.3.tar.gz |
|---|---|
| Size | 3.3 kB |
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