scipy.signal.abcd_normalize¶
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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, B, C, Darray_like, optional
 State-space matrices. All of them are None (missing) by default. See
ss2tffor format.
- Returns
 - A, B, C, Darray
 Properly shaped state-space matrices.
- Raises
 - ValueError
 If not enough information on the system was provided.
