Stability of the continuous-time Altafini model

Ji Liu, Xudong Chen, T. Başar
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引用次数: 13

Abstract

This paper considers the continuous-time Altafini model for opinion dynamics in which the interaction among a group of agents is described by a piecewise-constant switching signed digraph (or directed graph). Building on an idea proposed in [1], stability of the system described by the model is studied using a graphical approach. It is shown that for any sequence of repeatedly jointly strongly connected digraphs, without any assumption on the sign structure of the graphs, the system asymptotically reaches a consensus in absolute value, including convergence to zero and different types of bipartite consensus (or two-clustering). Necessary and sufficient conditions for exponential stability with respect to each possible type of limit states are provided. Specifically, under the assumption of repeatedly jointly strong connectivity, it is shown that (1) a certain type of two-clustering will be reached exponentially fast for almost all initial conditions if, and only if, the sequence of signed digraphs is repeatedly jointly structurally balanced corresponding to that type of two-clustering; (2) the system will converge to zero exponentially fast for all initial conditions if, and only if, the sequence of signed digraphs is repeatedly jointly structurally unbalanced.
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连续时间Altafini模型的稳定性
本文考虑了连续时间意见动力学的Altafini模型,其中一组智能体之间的相互作用用一个分段常数交换有向图(或有向图)来描述。基于[1]中提出的思想,用图形化的方法研究了模型所描述的系统的稳定性。证明了对于任意重复联合强连通有向图序列,在不对图的符号结构作任何假设的情况下,系统在绝对值上渐近达到一致,包括收敛于零和不同类型的二部一致(或二聚类)。给出了每一类极限状态的指数稳定性的充分必要条件。具体而言,在重复联合强连通性的假设下,表明(1)当且仅当与该类型的双聚类对应的有符号有向图序列重复联合结构平衡时,几乎在所有初始条件下都能以指数速度达到某类型的双聚类;(2)当且仅当有符号有向图序列重复联合结构不平衡时,系统在所有初始条件下都以指数速度收敛于零。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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