scipy.signal.lti#

class scipy.signal.lti(*system)[source]#

Continuous-time linear time invariant system base class.

Parameters

*systemarguments

The lti class can be instantiated with either 2, 3 or 4 arguments. The following gives the number of arguments and the corresponding continuous-time subclass that is created:

2: TransferFunction: (numerator, denominator)

3: ZerosPolesGain: (zeros, poles, gain)

4: StateSpace: (A, B, C, D)

Each argument can be an array or a sequence.

See also

ZerosPolesGain, StateSpace, TransferFunction, dlti

Notes

lti instances do not exist directly. Instead, lti creates an instance of one of its subclasses: StateSpace, TransferFunction or ZerosPolesGain.

If (numerator, denominator) 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]).

Changing the value of properties that are not directly part of the current system representation (such as the zeros of a StateSpace system) is very inefficient and may lead to numerical inaccuracies. It is better to convert to the specific system representation first. For example, call sys = sys.to_zpk() before accessing/changing the zeros, poles or gain.

Examples

>>> from scipy import signal

>>> signal.lti(1, 2, 3, 4)
StateSpaceContinuous(
array([[1]]),
array([[2]]),
array([[3]]),
array([[4]]),
dt: None
)

Construct the transfer function \(H(s) = \frac{5(s - 1)(s - 2)}{(s - 3)(s - 4)}\):

>>> signal.lti([1, 2], [3, 4], 5)
ZerosPolesGainContinuous(
array([1, 2]),
array([3, 4]),
5,
dt: None
)

Construct the transfer function \(H(s) = \frac{3s + 4}{1s + 2}\):

>>> signal.lti([3, 4], [1, 2])
TransferFunctionContinuous(
array([3., 4.]),
array([1., 2.]),
dt: None
)

Attributes

dt: Return the sampling time of the system, None for lti systems.
poles: Poles of the system.
zeros: Zeros of the system.

Methods

`bode`([w, n])	Calculate Bode magnitude and phase data of a continuous-time system.
`freqresp`([w, n])	Calculate the frequency response of a continuous-time system.
`impulse`([X0, T, N])	Return the impulse response of a continuous-time system.
`output`(U, T[, X0])	Return the response of a continuous-time system to input U.
`step`([X0, T, N])	Return the step response of a continuous-time system.
`to_discrete`(dt[, method, alpha])	Return a discretized version of the current system.

scipy.signal.iircomb

scipy.signal.lti.bode