Abstract
For the control design, it is important to make a good model. To identify the model parameter exactly, it is necessary to use data which are less affected by the disturbance or modelling uncertainty. We have proposed that it is important to evaluate the upper bound of the parameter estimation error when the disturbance and the unstructured model uncertainty exist. We design the input signal and the frequency weight for least square criterion such that the upper bound is minimized and confirm that it is useful to identify using the input signal and frequency weight. In this report, the input signal is limited to the periodic signal.
