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scipy.signal.step

scipy.signal.step(system, X0=None, T=None, N=None)[source]

Step response of continuous-time system.

Parameters:
system : an instance of the LTI class or a tuple of array_like

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

  • 1 (instance of lti)
  • 2 (num, den)
  • 3 (zeros, poles, gain)
  • 4 (A, B, C, D)
X0 : array_like, optional

Initial state-vector (default is zero).

T : array_like, optional

Time points (computed if not given).

N : int, optional

Number of time points to compute if T is not given.

Returns:
T : 1D ndarray

Output time points.

yout : 1D ndarray

Step response of system.

Notes

If (num, den) is passed in for system, coefficients for both the numerator and denominator should be specified in descending exponent order (e.g. s^2 + 3s + 5 would be represented as [1, 3, 5]).

Examples

>>> from scipy import signal
>>> import matplotlib.pyplot as plt
>>> lti = signal.lti([1.0], [1.0, 1.0])
>>> t, y = signal.step(lti)
>>> plt.plot(t, y)
>>> plt.xlabel('Time [s]')
>>> plt.ylabel('Amplitude')
>>> plt.title('Step response for 1. Order Lowpass')
>>> plt.grid()
../_images/scipy-signal-step-1.png