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Page 240                         Yang et al. Intell Robot 2022;2(3):223­43  I http://dx.doi.org/10.20517/ir.2022.19



                                 0.18                           1.4
                                 0.16
                                                                1.2
                                         10 -3
                                 0.14  12
                                                                1 0.8  0.035
                                The norm square of consensus error  0.08 0.1  6 4 2 0  The norm square of consensus error  0.6 0.4  0.015
                                       10
                                 0.12
                                        8
                                                                     0.025
                                                                     0.005
                                 0.06
                                 0.04
                                 0.02  -2 25  30  35  40  45    0.2  -0.005 25  30  35  40  45
                                                                0
                                  0
                                 -0.02                         -0.2
                                  0   10  20  30  40  50  60    0   10  20  30  40  50  60
                                             Time(s)                       Time(s)
                                 0.4                            0.4
                                 0.35                          0.35
                                 0.3  0.025                    0.25 0.3  0.032
                                The norm square of consensus error  0.15 0.2  0.015  The norm square of consensus error  0.15 0.2  0.018
                                 0.25
                                                                     0.025
                                                                     0.011
                                      0.005
                                                                     0.004
                                 0.05 0.1  -0.005 25  30  35  40  45  0.05 0.1  -0.003 25  30  35  40  45
                                  0                             0
                                 -0.05                         -0.05
                                  0   10  20  30  40  50  60    0   10  20  30  40  50  60
                                             Time(s)                       Time(s)
                                   Figure 6. The norm-squared responses of       (  ) under two different scenarios.
                                                3.5
                                                 3
                                                Topology Jump Mode  2.5 2



                                                1.5
                                                 1
                                                0.5
                                                 0  2  4  6  8  10  12  14  16  18  20
                                                            Time(s)
                                    Figure 7. A possible mode jumping diagram of communication topologies.

               possible topology jumping rule.


               Then, the relationship between the statistical properties of channel fading and the H ∞ performance of the
               system (6) is discussed. We consider three different values for the variance of the channel fading coefficient
               variables       (  ) and    0   (  ). By solving the conditions in Theorem 2, the value of the minimum ˆ   can be cal-
               culated and shown in Table 1. Table 1 lists three groups of simulation experiments. Simultaneously change
               the variance of one or two or three groups of fading coefficient variables and calculate the minimum perfor-
               mance index ˆ   of the system. It can be found from Table 1 that the greater the variance of the channel fading
               coefficient variables, the greater the H ∞ performance index ˆ   of the system. At the same time, comparing the
               second experiment in the first group with the first experiment in the third group, as the number of variances
               increases, the H ∞ performance index ˆ   of the system also increases. This means that the H ∞ performance of
               the system will deteriorate as the effect of the fading channel on the transmitted signal or information becomes
               greater.
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