Abstract
We present an identification algorithm for continuous-time Multiple-Input Multiple-Output systems from the samples of the input-output data. In the algorithm, from the sampled data first an equivalent discrete-time model is identified, next the model is transformed to the corresponding continuous-time model. Then the choice of the sampling interval plays a key role.