cupyx.scipy.signal.abcd_normalize#

cupyx.scipy.signal.abcd_normalize(A=None, B=None, C=None, D=None)[source]#

Check state-space matrices and ensure they are 2-D.

If enough information on the system is provided, that is, enough properly-shaped arrays are passed to the function, the missing ones are built from this information, ensuring the correct number of rows and columns. Otherwise a ValueError is raised.

Parameters:

  • A (array_like, optional) – State-space matrices. All of them are None (missing) by default. See ss2tf for format.

  • B (array_like, optional) – State-space matrices. All of them are None (missing) by default. See ss2tf for format.

  • C (array_like, optional) – State-space matrices. All of them are None (missing) by default. See ss2tf for format.

  • D (array_like, optional) – State-space matrices. All of them are None (missing) by default. See ss2tf for format.

Returns:

A, B, C, D – Properly shaped state-space matrices.

Return type:

array

Raises:

ValueError – If not enough information on the system was provided.