Cluster assignment in multi-agent systems: Sparsity bounds and fault tolerance

Miel Sharf, Daniel Zelazo

Research output: Contribution to journalArticlepeer-review

Abstract

We study cluster assignment in homogeneous diffusive multi-agent networks. Given the number of clusters and agents within each cluster, we design the network graph ensuring the system will converge to the prescribed cluster configuration. Using recent results linking clustering and symmetries, we show that it is possible to design an oriented graph for which the action of the automorphism group of the graph has orbits of predetermined sizes, guaranteeing the network will converge to the prescribed cluster configuration. We provide bounds on the number of edges needed to construct these graphs along with a constructive approach for their generation. We also consider the robustness of the clustering process under agent malfunction.

Original languageEnglish
JournalAsian Journal of Control
DOIs
StateAccepted/In press - 2023

Keywords

  • clustering
  • diffusive coupling
  • fault tolerance
  • graph theory
  • multi-agent networks
  • sparsity

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Mathematics (miscellaneous)
  • Electrical and Electronic Engineering

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