`scipy.signal._ltisys:ZerosPolesGainContinuous`

source: /scipy/signal/_ltisys.py :1085

Signature

class ZerosPolesGainContinuous ( * system , ** kwargs )

Members

to_discrete

Summary

Continuous-time Linear Time Invariant system in zeros, poles, gain form.

Extended Summary

Represents the system as the continuous time transfer function $H (s) = k \prod_{i} (s - z [i]) / \prod_{j} (s - p [j])$ , where $k$ is the gain, $z$ are the zeros and $p$ are the poles. Continuous-time ZerosPolesGain systems inherit additional functionality from the lti class.

Parameters

*system : arguments

The ZerosPolesGain class can be instantiated with 1 or 3 arguments. The following gives the number of input arguments and their interpretation:

1: lti system: (StateSpace, TransferFunction or ZerosPolesGain)
3: array_like: (zeros, poles, gain)

Notes

Changing the value of properties that are not part of the ZerosPolesGain system representation (such as the A, B, C, D state-space matrices) is very inefficient and may lead to numerical inaccuracies. It is better to convert to the specific system representation first. For example, call sys = sys.to_ss() before accessing/changing the A, B, C, D system matrices.

Examples

Construct the transfer function :math:`H(s)=\frac{5(s - 1)(s - 2)}{(s - 3)(s - 4)}`:

from scipy import signal

✓

signal.ZerosPolesGain([1, 2], [3, 4], 5)

✓

Aliases

scipy.signal._ltisys.ZerosPolesGainContinuous