ss2zpk(A, B, C, D, input=0)

A, B, C, D defines a linear state-space system with p inputs, :None:None:`q` outputs, and n state variables.

Parameters

A : array_like

State (or system) matrix of shape (n, n)

B : array_like

Input matrix of shape (n, p)

C : array_like

Output matrix of shape (q, n)

D : array_like

Feedthrough (or feedforward) matrix of shape (q, p)

input : int, optional

For multiple-input systems, the index of the input to use.

Returns

z, p : sequence

Zeros and poles.

k : float

System gain.

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

Examples

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

scipy.signal._ltisys.StateSpace.to_tf scipy.signal._ltisys.StateSpace scipy.signal._ltisys.StateSpace.to_zpk scipy.signal._ltisys.StateSpaceContinuous scipy.signal._ltisys.StateSpaceDiscrete

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

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GitHub : /scipy/signal/_lti_conversion.py#305
type: <class 'function'>
Commit: