Local Averaging for Consensus Over Communication Links With Random Dropouts

This letter proposes a mechanism for consensusability of multi-agent systems which communicate through packet loss channels. A distinguishing feature our approach is that we assume each agent may act on an estimate the state its neighbours when losses occur. system using proposed compensation method subject to nonidentical Markovian dropouts analysed and conditions are proposed. Simulation results provided verify show it allows over wider range dropout probabilities than methods previously documented in literature.