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Finite-time Cluster Average Consensus for Networks via Distributed Iterations

Yilun Shang
International Journal of Control, Automation, and Systems, vol. 15, no. 2, pp.933-938, 2017

Abstract : "In this technical note, we deal with the finite-time cluster average consensus in bidirectional networks. By designing distributed linear iterations involving stochastic matrices consistent with a network topology, we show that cluster average consensus can always be achieved in finite time for bidirectional networks containing cluster-spanning trees. An algorithm for the proposed finite-time cluster average consensus is presented. Numerical simulations on a realistic social network are presented to illustrate the availability of the obtained theoretical results."

Keyword : Cluster consensus, distributed algorithm, finite-time, multi-agent system. 10.1007/s12555-015-0407-2

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