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dstep(system, x0=None, t=None, n=None)

Parameters

system : tuple of array_like

A tuple describing the system. The following gives the number of elements in the tuple and the interpretation:

  • 1: (instance of dlti )

  • 3: (num, den, dt)

  • 4: (zeros, poles, gain, dt)

  • 5: (A, B, C, D, dt)

x0 : array_like, optional

Initial state-vector. Defaults to zero.

t : array_like, optional

Time points. Computed if not given.

n : int, optional

The number of time points to compute (if t is not given).

Returns

tout : ndarray

Output time points, as a 1-D array.

yout : tuple of ndarray

Step response of system. Each element of the tuple represents the output of the system based on a step response to each input.

Step response of discrete-time system.

See Also

cont2discrete
dimpulse
dlsim
step

Examples

>>> from scipy import signal
... import matplotlib.pyplot as plt
>>> butter = signal.dlti(*signal.butter(3, 0.5))
... t, y = signal.dstep(butter, n=25)
... plt.step(t, np.squeeze(y))
... plt.grid()
... plt.xlabel('n [samples]')
... plt.ylabel('Amplitude')
See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

scipy.signal._ltisys.dstep scipy.signal._ltisys.dlti.step scipy.signal._ltisys.dimpulse scipy.signal._lti_conversion.cont2discrete scipy.signal._ltisys.dlsim

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GitHub : /scipy/signal/_ltisys.py#3606
type: <class 'function'>
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