Continuous-time input-output linear dynamic system identification using sampled data

In the paper an approach to parametric continuous-time input-output linear dynamic system identification based on a randomized search method is presented. During identification experiment the excitation signal is generated directly from D/A converter that is equipped only with zero-order or first-order hold filter - the corresponding low-pass analogue reconstruction filter is not used. In this experiment only samples of the system output signal are gathered. In the corresponding data acquisition system there is no analogue antialiasing filter. Samples of the system output signal are acquired with a deterministic constant or random sampling interval. Properties of the presented approach are illustrated by simulation experiments.