Voltage Graphs and Cluster Consensus with Point Group Symmetries
Xudong Chen, Mohamed-Ali Belabbas, Tamer Basar

TL;DR
This paper introduces $G$-clustering dynamics for multi-agent systems using voltage graphs, generalizing existing models to achieve symmetric cluster formations based on point group symmetries, and provides convergence conditions.
Contribution
It defines $G$-clustering dynamics over voltage graphs, generalizes Altafini's signed graph model, and establishes necessary and sufficient conditions for exponential convergence.
Findings
Identifies conditions for exponential convergence of $G$-clustering dynamics.
Explores properties of voltage graphs relevant to convergence.
Generalizes signed graph models to broader voltage graph frameworks.
Abstract
A cluster consensus system is a multi-agent system in which the autonomous agents communicate to form multiple clusters, with each cluster of agents asymptotically converging to the same clustering point. We introduce in this paper a special class of cluster consensus dynamics, termed the -clustering dynamics for a point group, whereby the autonomous agents can form as many as clusters, and moreover, the associated clustering points exhibit a geometric symmetry induced by the point group. The definition of a -clustering dynamics relies on the use of the so-called voltage graph. We recall that a -voltage graph is comprised of two elements---one is a directed graph (digraph), and the other is a map assigning elements of a group~ to the edges of the digraph. For example, in the case when , i.e., a cyclic group of order~, a voltage graph is…
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Taxonomy
TopicsTopological and Geometric Data Analysis · Distributed Control Multi-Agent Systems · Slime Mold and Myxomycetes Research
