scipy.signal.

ss2zpk#

scipy.signal.ss2zpk(A, B, C, D, input=0)[source]#

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

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

Parameters:

Aarray_like: State (or system) matrix of shape (n, n)
Barray_like: Input matrix of shape (n, p)
Carray_like: Output matrix of shape (q, n)
Darray_like: Feedthrough (or feedforward) matrix of shape (q, p)
inputint, optional: For multiple-input systems, the index of the input to use.

Returns:

z, psequence: Zeros and poles.
kfloat: 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 Support for the array API standard for more information.