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bundles / scipy latest / scipy / signal / _lti_conversion / ss2zpk

function

scipy.signal._lti_conversion:ss2zpk

source: /scipy/signal/_lti_conversion.py :326

Signature

def   ss2zpk ( A B C D input = 0 )

Summary

State-space representation to zero-pole-gain representation.

Extended Summary

A, B, C, D defines a linear state-space system with p inputs, q outputs, and n state variables.

Parameters

A : array_like

State (or system) matrix of shape (n, n)

B : array_like

Input matrix of shape (n, p)

C : array_like

Output matrix of shape (q, n)

D : array_like

Feedthrough (or feedforward) matrix of shape (q, p)

input : int, optional

For multiple-input systems, the index of the input to use.

Returns

z, p : sequence

Zeros and poles.

k : float

System gain.

Notes

Array API Standard Support

ss2zpk has experimental support for Python Array API Standard compatible backends in addition to NumPy. Please consider testing these features by setting an environment variable SCIPY_ARRAY_API=1 and providing CuPy, PyTorch, JAX, or Dask arrays as array arguments. The following combinations of backend and device (or other capability) are supported.

====================  ====================  ====================
Library               CPU                   GPU
====================  ====================  ====================
NumPy                 ✅                     n/a                 
CuPy                  n/a                   ⛔                   
PyTorch               ⛔                     ⛔                   
JAX                   ⛔                     ⛔                   
Dask                  ⛔                     n/a                 
====================  ====================  ====================

See dev-arrayapi for more information.

Aliases

  • scipy.signal.ss2zpk