the previous simulation, we test the performance of each algorithm for a fixed number of output measurements ($N=2000$) with different regular sampling periods. Since the rise time of the system is approximately 2 seconds, a good choice for the sampling period should be between 0.2 and 0.5 seconds according to the criterion suggested in [@astroem1984computer]. In order to cover fast, normal and slow sampling, we test with sampling periods $h=0.06,0.2$ and $0.6$\[s\].

The sample mean and mean square error of each parameter over $300$ Monte Carlo runs for each sampling period are shown in Table \[table1\]. On average, the SRIVC-c estimator delivers the true values of every parameter for all sampling periods in this study, whereas the SRIVC estimator only performs well when the sampling period is small. For $h=0.6[\textnormal{s}]$, the large sampling period exaggerates the interpolation error of the input signal in the standard SRIVC estimator, which severely degrades its performance. This is confirmed by the order of magnitude of difference in MSE of the parameters given by the two estimators.

\[table1\]

[|@m[0.92cm]{}|m[0.96cm]{}|@m[0.63cm]{}@|m[1.13cm]{}|m[1.13cm]{}|m[1.13cm]{}|]{} Method &

  ---------
   Param.
   (Value)
  ---------

  : Sample mean and MSE of each parameter, for SRIVC and SRIVC-c, when $h=0.06, 0.2$ and $0.6[\textnormal{s}]$.

& Stats. & 