Re generate all the matlab figures

matlab/index.org

@@ -601,7 +601,9 @@ The Power Spectral Density of the individual sensors' noise $\Phi_{n_1}, \Phi_{n
 
 The RMS value of the individual sensors and of the super sensor are listed in Table [[tab:rms_noise_H2]].
 #+begin_src matlab :exports results :results value table replace :tangle no :post addhdr(*this*)
-  data2orgtable([sqrt(trapz(freqs, PSD_S1)); sqrt(trapz(freqs, PSD_S2)); sqrt(trapz(freqs, PSD_H2))], {'$\sigma_{n_1}$', '$\sigma_{n_2}$', '$\sigma_{n_{\mathcal{H}_2}}$'}, {'RMS value $[m/s]$'}, ' %.3f ');
+  data2orgtable([sqrt(trapz(freqs, PSD_S1)); sqrt(trapz(freqs, PSD_S2)); sqrt(trapz(freqs, PSD_H2))], ...
+                 {'$\sigma_{n_1}$', '$\sigma_{n_2}$', '$\sigma_{n_{\mathcal{H}_2}}$'}, ...
+                 {'RMS value $[m/s]$'}, ' %.3f ');
 #+end_src
 
 #+name: tab:rms_noise_H2
@@ -1186,7 +1188,7 @@ The generalized plant $P_{\mathcal{H}_2/\mathcal{H}_\infty}$ is defined below
 
 And the mixed $\mathcal{H}_2/\mathcal{H}_\infty$ synthesis is performed.
 #+begin_src matlab
-  [H2, ~] = h2hinfsyn(ss(P), 1, 1, 2, [0, 1], 'HINFMAX', 1, 'H2MAX', Inf, 'DKMAX', 100, 'TOL', 0.01, 'DISPLAY', 'on');
+  [H2, ~] = h2hinfsyn(ss(P), 1, 1, 2, [0, 1], 'HINFMAX', 1, 'H2MAX', Inf, 'DKMAX', 100, 'TOL', 1e-3, 'DISPLAY', 'on');
 #+end_src
 
 #+begin_src matlab
@@ -1346,7 +1348,7 @@ The RMS values of the super sensor noise for the presented three synthesis are l
 |-------------------------------------------+-----------|
 | Optimal: $\mathcal{H}_2$                  |    0.0027 |
 | Robust: $\mathcal{H}_\infty$              |     0.041 |
-| Mixed: $\mathcal{H}_2/\mathcal{H}_\infty$ |      0.01 |
+| Mixed: $\mathcal{H}_2/\mathcal{H}_\infty$ |    0.0098 |
 
 ** Obtained Super Sensor's Uncertainty
 The uncertainty on the super sensor's dynamics is shown in Figure [[fig:super_sensor_dynamical_uncertainty_Htwo_Hinf]].