COLLECTIVE BEHAVIOR IN COMPLEX TIME-VARYING NETWORKS

In this project, we studied how the heterogeneous and time-varying nature of many real-world networks impacts different types of collective behavior that emerge from it. More information about this project can be found in the following publications:

• Zino L., Rizzo A., and Porfiri M., Consensus over activity driven networks. IEEE Transactions on Control of Network Systems, 7(2), 866–877, 2020

• Hasanyan J., Zino L., Burbano Lombana D.A., Rizzo A., and Porfiri M., Leader-follower consensus on activity-driven networks. Proceedings of the Royal Society A, 476(2233), 2020

• Hasanyan J., Zino L.,Truszkowska A., Rizzo A., and Porfiri M., Analysis of the Heterogeneous Vectorial Network Model of Collective Motion. IEEE Control Systems Letters, 5(3), 1103–1108, 2021