# scipy.signal.step2¶

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.

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. 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.

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]).

New in version 0.8.0.

#### Previous topic

scipy.signal.step

#### Next topic

scipy.signal.freqresp