scipy.signal.abcd_normalize#
- 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.