scipy.signal.TransferFunction¶
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class
scipy.signal.TransferFunction(*system)[source]¶ Linear Time Invariant system class in transfer function form.
Represents the system as the transfer function \(H(s)=\sum_{i=0}^N b[N-i] s^i / \sum_{j=0}^M a[M-j] s^j\), where \(b\) are elements of the numerator
num, \(a\) are elements of the denominatorden, andN == len(b) - 1,M == len(a) - 1.Parameters: *system : arguments
The
TransferFunctionclass can be instantiated with 1 or 2 arguments. The following gives the number of input arguments and their interpretation:- 1:
ltisystem: (StateSpace,TransferFunctionorZerosPolesGain) - 2: array_like: (numerator, denominator)
See also
Notes
Changing the value of properties that are not part of the
TransferFunctionsystem representation (such as theA,B,C,Dstate-space matrices) is very inefficient and may lead to numerical inaccuracies.Examples
Construct the transfer function:
\[H(s) = \frac{s^2 + 3s + 3}{s^2 + 2s + 1}\]>>> from scipy import signal >>> num = [1, 3, 3] >>> den = [1, 2, 1] >>> signal.TransferFunction(num, den) TransferFunction( array([ 1., 3., 3.]), array([ 1., 2., 1.]) )
Attributes
AState matrix of the StateSpacesystem.BInput matrix of the StateSpacesystem.COutput matrix of the StateSpacesystem.DFeedthrough matrix of the StateSpacesystem.denDenominator of the TransferFunctionsystem.gainGain of the ZerosPolesGainsystem.numNumerator of the TransferFunctionsystem.polesPoles of the ZerosPolesGainsystem.zerosZeros of the ZerosPolesGainsystem.Methods
bode([w, n])Calculate Bode magnitude and phase data of a continuous-time system. freqresp([w, n])Calculate the frequency response of a continuous-time system. impulse([X0, T, N])Return the impulse response of a continuous-time system. output(U, T[, X0])Return the response of a continuous-time system to input U. step([X0, T, N])Return the step response of a continuous-time system. to_ss()Convert system representation to StateSpace.to_tf()Return a copy of the current TransferFunctionsystem.to_zpk()Convert system representation to ZerosPolesGain.- 1: