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
Notes
lti
instances do not exist directly. Instead,lti
creates an instance of one of its subclasses:StateSpace
,TransferFunction
orZerosPolesGain
.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 aStateSpace
system) is very inefficient and may lead to numerical inaccuracies. It is better to convert to the specific system representation first. For example, callsys = 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
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.