scipy.signal.ZerosPolesGain¶
-
class
scipy.signal.
ZerosPolesGain
(*system)[source]¶ Linear Time Invariant system class in zeros, poles, gain form.
Represents the system as the transfer function \(H(s)=k \prod_i (s - z[i]) / \prod_j (s - p[j])\), where \(k\) is the
gain
, \(z\) are thezeros
and \(p\) are thepoles
.Parameters: *system : arguments
The
ZerosPolesGain
class can be instantiated with 1 or 3 arguments. The following gives the number of input arguments and their interpretation:- 1:
lti
system: (StateSpace
,TransferFunction
orZerosPolesGain
) - 3: array_like: (zeros, poles, gain)
See also
Notes
Changing the value of properties that are not part of the
ZerosPolesGain
system representation (such as theA
,B
,C
,D
state-space matrices) is very inefficient and may lead to numerical inaccuracies.Attributes
A
State matrix of the StateSpace
system.B
Input matrix of the StateSpace
system.C
Output matrix of the StateSpace
system.D
Feedthrough matrix of the StateSpace
system.den
Denominator of the TransferFunction
system.gain
Gain of the ZerosPolesGain
system.num
Numerator of the TransferFunction
system.poles
Poles of the ZerosPolesGain
system.zeros
Zeros of the ZerosPolesGain
system.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
()Convert system representation to TransferFunction
.to_zpk
()Return a copy of the current ‘ZerosPolesGain’ system. - 1: