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Asymmetric bipartite consensus over directed networks with antagonistic interactions

机译:具有拮抗作用的定向网络的不对称两方共识

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This study deals with the bipartite consensus problem for multi-agent systems associated with signed digraphs. For structurally balanced signed digraphs, by constructing a new class of general Laplacian matrices, it is found that all agents will converge to two values with different modulus if the signed digraph is strongly connected. Interestingly, these two values completely depend on the left eigenvector of the general Laplacian matrix corresponding to the zero eigenvalue and the initial states of all agents. Furthermore, it is shown that all agents can reachinterval asymmetric bipartite consensusif the associated signed digraph contains a spanning tree. In particular, some useful results are also presented for specific signed digraphs with spanning trees. Finally, two numerical examples are provided to demonstrate the effectiveness of the main results.
机译:这项研究处理与有向图有关的多智能体系统的二分共识问题。对于结构平衡的有向有向图,通过构造一类新的通用拉普拉斯矩阵,可以发现,如果有向有向图是牢固连接的,则所有代理都将收敛到具有不同模量的两个值。有趣的是,这两个值完全取决于一般Laplacian矩阵的左特征向量,对应于零特征值和所有代理的初始状态。此外,显示了所有代理都可以到达 n 间隔不对称两方共识 n(如果关联的带符号图包含生成树)。特别是,对于带有生成树的特定有向图,也给出了一些有用的结果。最后,提供了两个数值示例来说明主要结果的有效性。

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