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Collective Behaviors of Discrete-Time Multi-Agent Systems Over Signed Digraphs

Zhen‐Hua Zhu, Bin Hu, Zhi‐Hong Guan, Zhao Zhang, Xin‐Ming Cheng

2021IEEE Transactions on Network Science and Engineering25 citationsDOI

Abstract

This article is concerned with the collective behaviors of discrete-time multi-agent systems with single-integrator dynamics under general signed digraphs, in which each agent iteratively updates its own state based upon the current relative states between itself and its neighbors. By using graph-theoretic, matrix-theoretic, and control-theoretic tools, it is shown that with the step-size suitably selected, the states of all agents always converge. More specifically, all agents reach: 1) bipartite consensus (trivial consensus, respectively) if and only if they are related to a strongly connected signed digraph which is structurally balanced (unbalanced, respectively); 2) interval bipartite consensus (trivial consensus, respectively) if and only if their related signed digraph is quasi-strongly connected and contains a structurally balanced (unbalanced, respectively) rooted subdigraph; and 3) bipartite containment (trivial consensus, respectively) if the signed digraph relevant to them is weakly connected and has at least one structurally balanced vertex (has no structurally balanced vertices, respectively). Numerical examples are finally provided to verify the theoretical findings.

Topics & Concepts

DigraphBipartite graphStrongly connected componentDirected graphVertex (graph theory)Signed graphMathematicsDiscrete time and continuous timeConsensus algorithmState (computer science)Discrete mathematicsCombinatoricsMulti-agent systemGraphInterval (graph theory)Computer scienceTopology (electrical circuits)AlgorithmStatisticsArtificial intelligenceDistributed Control Multi-Agent SystemsNeural Networks Stability and SynchronizationNonlinear Dynamics and Pattern Formation
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