tfest 0.2.2

Transfer function estimation based on frequency response.

Tfest

Transfer function estimation with frequency response. Only works for SISO systems for now. Python equivalent of MATLAB tfest

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)