Modulus consensus over time-varying digraphs

Ji Liu, Dan Wang, Wei Chen, T. Başar
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引用次数: 2

Abstract

This paper considers a discrete-time modulus consensus model in which the interaction among a group of agents is described by a time-dependent, complex-valued, weighted digraph. It is shown that for any sequence of repeatedly jointly strongly connected digraphs, without any assumption on the structure of the complex-valued weights, the system asymptotically reaches modulus consensus. Sufficient conditions for exponential convergence to each possible type of limit states are provided. Specifically, it is shown that (1) if the sequence of complex-valued weighted digraphs is repeatedly jointly balanced with respect to the same type, the corresponding type of modulus consensus will be reached exponentially fast for almost all initial conditions; (2) if the sequence of complex-valued weighted digraphs is repeatedly jointly unbalanced, the system will converge to zero exponentially fast for all initial conditions.
时变有向图上的模一致
本文研究了一种离散时间模一致模型,其中一组智能体之间的相互作用用一个时间相关的复值加权有向图来描述。证明了对于任意重复联合强连通有向图序列,在不考虑复值权值结构的情况下,系统渐近达到模一致。给出了指数收敛到各种可能的极限状态的充分条件。具体地说,(1)如果复值加权有向图序列相对于同一类型重复联合平衡,则几乎在所有初始条件下都能以指数速度达到相应类型的模一致性;(2)当复值加权有向图序列重复联合不平衡时,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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