Multi-agent system
This study proposes a stabilization approach when applying $N$th-order compensation for the average consensus of a multi-agent system affected by non-uniform, asymmetric, and time-varying delays in a communication network.
A continuous-time linear dynamical system with a local discrete-time controller modeled for each agent.
In our previous study, we proposed a packet selection algorithm that always selects the most recent packet and a synchronization algorithm that compensates for asymmetric delays to achieve an average consensus considering first-order compensation.
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According to the different proportion of agent loss and link loss in faults, five experimental data sets are designed. Among them, the fault type corresponding to data set A is agent loss where the proportion of link loss in faults is 0%, the fault type of data set B, C and D is agent & link loss where the proportion of link loss in faults is 25%, 50% and 75% respectively, and the fault type of data set E is link loss where the proportion of link loss in faults is 100%.
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