scipy.signal.
tf2ss#
- scipy.signal.tf2ss(num, den)[source]#
- Transfer function to state-space representation. - Parameters:
- num, denarray_like
- Sequences representing the coefficients of the numerator and denominator polynomials, in order of descending degree. The denominator needs to be at least as long as the numerator. 
 
- Returns:
- A, B, C, Dndarray
- State space representation of the system, in controller canonical form. 
 
 - Examples - Convert the transfer function: \[H(s) = \frac{s^2 + 3s + 3}{s^2 + 2s + 1}\]- >>> num = [1, 3, 3] >>> den = [1, 2, 1] - to the state-space representation: \[ \begin{align}\begin{aligned}\begin{split}\dot{\textbf{x}}(t) = \begin{bmatrix} -2 & -1 \\ 1 & 0 \end{bmatrix} \textbf{x}(t) + \begin{bmatrix} 1 \\ 0 \end{bmatrix} \textbf{u}(t) \\\end{split}\\\textbf{y}(t) = \begin{bmatrix} 1 & 2 \end{bmatrix} \textbf{x}(t) + \begin{bmatrix} 1 \end{bmatrix} \textbf{u}(t)\end{aligned}\end{align} \]- >>> from scipy.signal import tf2ss >>> A, B, C, D = tf2ss(num, den) >>> A array([[-2., -1.], [ 1., 0.]]) >>> B array([[ 1.], [ 0.]]) >>> C array([[ 1., 2.]]) >>> D array([[ 1.]])