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scipy tutorial - Baustatik-Info-Server

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SciPy Reference Guide, Release 0.8.dev<br />

Parameters<br />

z : ndarray<br />

zeros of the transfer function.<br />

p : ndarray<br />

k : float<br />

poles of the transfer function.<br />

system gain.<br />

Returns<br />

b : ndarray<br />

numerator polynomial.<br />

a : ndarray<br />

numerator and denominator polynomials.<br />

tf2ss(num, den)<br />

Transfer function to state-space representation.<br />

Inputs:<br />

Outputs:<br />

num, den – sequences representing the numerator and denominator polynomials.<br />

A, B, C, D – state space representation of the system.<br />

ss2tf(A, B, C, D, input=0)<br />

State-space to transfer function.<br />

Inputs:<br />

Outputs:<br />

A, B, C, D – state-space representation of linear system. input – For multiple-input systems, the<br />

input to use.<br />

num, den – Numerator and denominator polynomials (as sequences)<br />

respectively.<br />

zpk2ss(z, p, k)<br />

Zero-pole-gain representation to state-space representation<br />

Inputs:<br />

Outputs:<br />

z, p, k – zeros, poles (sequences), and gain of system<br />

A, B, C, D – state-space matrices.<br />

ss2zpk(A, B, C, D, input=0)<br />

State-space representation to zero-pole-gain representation.<br />

Inputs:<br />

Outputs:<br />

A, B, C, D – state-space matrices. input – for multiple-input systems, the input to use.<br />

z, p, k – zeros and poles in sequences and gain constant.<br />

344 Chapter 3. Reference

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