Overlapping Community Model-based Multi-agent Consensus Protocol

Consensus in multi-agent systems is a key problem in the research of multi-agent cooperative control. Traditional studies on consensus do not consider the overlapping structure in the network topology, neglecting the strength of connections between nodes, resulting in weaker connections being more prone to disconnection during system evolution, thereby affecting system consistency performance. Based on the idea that overlapping nodes in community networks can promote information interconnection between different communities, this paper proposed an overlapping community model (OCM). Firstly, this paper proposed a distributed overlapping node discovery algorithm (DOND) algorithm, which can be used to identify overlapping nodes in all nodes' neighborhood in the system. Secondly, this paper proposed an overlap degree-based topology reweighting algorithm (ODTR) algorithm to quantify the overlap degree between nodes and dynamically assign weights. Finally, this paper proposed an overlapping community model-based multi-agent consensus protocol. The stability of the system is verified by theoretical analysis, and the consensus protocol proposed in this paper is simulated. The experimental results show that the protocol can enhance the system consensus by reducing the number of convergence clusters.