Averager-Copier-Voter Models for Hybrid Consensus

A hybrid multi-agent network (HMAN) model for distributed consensus is introduced, wherein some continuous-valued agents average neighbors’ opinions to update their own, while other discrete-valued agents use stochastic copying and voting protocols. A statistical and graph-theoretic analysis of the HMAN is undertaken. Consensus is shown to be achieved whenever the network matrix is ergodic.