Figure 7.

Comparison between the adapted optimization parameters $({\hat{Q}}_p,{\hat{Q}}_{i,s},{\hat{Q}}_r)$ and pre-defined values $(Q_p^S,Q_{i,s}^S,Q_r^S)$. The solid lines indicate the regression lines for the optimization parameters. The corresponding regression functions are shown including the 95% confidence interval. The distances between the regression lines and the confidence interval boundaries are indicated (Δ_a, Δ_b, Δ_c exhibiting the reliability of the algorithm).