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abcd_normalize(A=None, B=None, C=None, D=None)

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, D : array_like, optional

State-space matrices. All of them are None (missing) by default. See ss2tf for format.

Raises

ValueError

If not enough information on the system was provided.

Returns

A, B, C, D : array

Properly shaped state-space matrices.

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

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


GitHub : /scipy/signal/_lti_conversion.py#149
type: <class 'function'>
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