# scipy.signal.step¶

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

Step response of continuous-time system.

Parameters
systeman 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)

X0array_like, optional

Initial state-vector (default is zero).

Tarray_like, optional

Time points (computed if not given).

Nint, optional

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

Returns
T1D ndarray

Output time points.

yout1D 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()


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