# Precise Mission Process Control Based on a Novel Dual-Code Group Network Plan Diagram
## 6 Results and Discussion
### Experiment Results and Discussion
#### 6.3.4 Experiment 4: Disturbance Exceeding the Maximum Anti-Disturbance Capability of System  
In Experiment 3, the system errors caused by the disturbances are always within the maximum anti-disturbance capability of the system, and therefore, all the errors can be eliminated. In Experiment 4, we increase the system disturbance to verify the validity of the maximum anti-disturbance capability of the system obtained from (53). The equation for the maximum acceptable output \(y_{\max}(t)\) of the system, given in (54), indicates that \(y_{\max}(t)\) is a time-varying variable. This variable is related to the remaining controllable missions and the current core path. In accordance with the fundamental principle of the sale algorithm, the calculation of the control quantity is essentially the allocation of the eliminated errors in accordance with the maximum anti-disturbance capability of each effective controllable mission. Consequently, the application of the control quantity will undoubtedly result in the consumption of \(y_{\max}\) and the subsequent decline of \(y_{\max}\). As illustrated in Figure 22a, when t = 16, the maximum acceptable output of the system is \(y_{\max}(16)=132\). This implies that as long as the output of the system does not exceed 128, the system can eliminate the error according to the control strategy depicted in Figure 16. At this moment, the system produces a control amount of \(u_{D_{2}}(16)=-4\). If the output of the system does not exceed 128, the system can eliminate the error according to the control strategy shown in Figure 16. At this moment, the system produces a control amount of \(u_{D_{2}}(16)=-4\). As illustrated in Figure 22b, after the application of the control quantity, there is a reduction in \(y_{\max}\) at \(t=17\). At this point, \(y_{\max}(17)=128\). This is due to the fact that the maximum anti-disturbance capability of mission D2 has been consumed at \(t=16\), which has resulted in a decline in the maximum anti-disturbance capability of the entire plan. Changes in the critical paths may also lead to changes in \(y_{\max}\) when no control quantity is applied. As shown in Figure 22c, at \(t=41\), the system has three critical paths, starting at D3, C2, and F1, respectively, and all ending at E7. The critical path determined by the control strategy from the three critical paths is {C2, C3, F3, E3, E4, B4, C6, D6, D7, F6, E6, E7}. Based on this critical path, the system can best tolerate the output \(y_{\max}(41)=122\) \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline \multirow{2}{*}{\(\mathbf{t}\)} & \multicolumn{8}{c}{\(\mathbf{u\_i(t)\) (min)} & \multirow{2}{*}{\(\mathbf{y(t)}\)} \\ \cline{2-2} \cline{4-7}  & **G2** & **D2** & **C2** & **F2** & **E4** & **E6** \\ \hline
4 & \(-2\) & \(0\) & \(0\) & \(0\) & \(0\) & \(0\) & \(2\) \\
15 & \(0\) & \(-3\) & \(0\) & \(0\) & \(0\) & \(0\) & \(3\) \\
25 & \(0\) & \(-4\) & \(0\) & \(0\) & \(0\) & \(0\) & \(4\) \\
30 & \(0\) & \(-3\) & \(-1\) & \(-1\) & \(0\) & \(0\) & \(3\) \\
39 & \(0\) & \(0\) & \(-2\) & \(-2\) & \(-1\) & \(0\) & \(3\) \\
47 & \(0\) & \(0\) & \(0\) & \(0\) & \(-4\) & \(-1\) & \(5\) \\
67 & \(0\) & \(0\) & \(0\) & \(0\) & \(0\) & \(-3\) & \(3\) \\ \hline \hline \end{tabular}
\end{table} 
Table 4: The control quantities \(u_{i}(t)\) for each controllable moment in Experiment 3. The first column represents each controllable moment, and the last column of the table represents the system output \(y(t)\). Figure 21: The calculation time of control quantity in Experiment 3. As shown in Figure 22d, at \(t=46\), due to the prolonged F1 mission, at this moment the system has only one critical path, starting at F1 and ending at E7. At this moment, the control strategy takes the critical path as [F1 F2, F3, E3, E4, B4, C6, D6, D7, F6, E6, E7]. As a consequence, the critical path changes compared to \(t=41\), and at this moment, the maximum acceptable output of the system also changes, with \(y_{\max}(46)=124\).