Exploiting Nodes Symmetries to Control Synchronization and Consensus Patterns in Multiagent Systems
Davide Fiore, Giovanni Russo, Mario di Bernardo · IEEE Control Systems Letters · 2017
We present new conditions to obtain synchronization and consensus patterns in complex network systems. The key idea is to exploit symmetries of the nodes' vector fields to induce a desired synchronization/consensus pattern, where nodes are clustered in different groups each converging toward a different synchronized evolution. We show that the new conditions we present offer a systematic methodology to design a distributed network controller able to drive a network of interest toward a desired synchronization/consensus pattern.