Design of Experiments for Learning Dynamic Models

Optimal experimental designs were discussed first in the statistical literatures as allocation problem of points in classical regression problems. This was soon followed by designing optimal input or excitation signals under special constraints to get a kind of best estimation of parametrized models from measured data. These procedures were very useful to get the minimal number of experiments to achieve a certain quality of the estimated parameters or frequency response