scipy.signal.dlsim

scipy.signal.dlsim(system, u, t=None, x0=None)

Simulate output of a discrete-time linear system.

Parameters :

system : class instance or tuple

An instance of the LTI class, or a tuple describing the system. The following gives the number of elements in the tuple and the interpretation:

• 3: (num, den, dt)
• 4: (zeros, poles, gain, dt)
• 5: (A, B, C, D, dt)

u : array_like

An input array describing the input at each time t (interpolation is assumed between given times). If there are multiple inputs, then each column of the rank-2 array represents an input.

t : array_like, optional

The time steps at which the input is defined. If t is given, the final value in t determines the number of steps returned in the output.

x0 : arry_like, optional

The initial conditions on the state vector (zero by default).

Returns :

tout : ndarray

Time values for the output, as a 1-D array.

yout : ndarray

System response, as a 1-D array.

xout : ndarray, optional

Time-evolution of the state-vector. Only generated if the input is a state-space systems.

See also

lsim, dstep, dimpulse, cont2discrete

Examples

A simple integrator transfer function with a discrete time step of 1.0 could be implemented as:

>>> from scipy import signal
>>> tf = ([1.0,], [1.0, -1.0], 1.0)
>>> t_in = [0.0, 1.0, 2.0, 3.0]
>>> u = np.asarray([0.0, 0.0, 1.0, 1.0])
>>> t_out, y = signal.dlsim(tf, u, t=t_in)
>>> y
array([ 0.,  0.,  0.,  1.])