scipy.signal.step2(system, X0=None, T=None, N=None, **kwargs)[source]

Step response of continuous-time system.

This function is functionally the same as scipy.signal.step, but it uses the function scipy.signal.lsim2 to compute the step response.


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.

kwargs : various types

Additional keyword arguments are passed on the function scipy.signal.lsim2, which in turn passes them on to scipy.integrate.odeint. See the documentation for scipy.integrate.odeint for information about these arguments.


T : 1D ndarray

Output time points.

yout : 1D ndarray

Step response of system.


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]).

New in version 0.8.0.

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