Exact controllability of complex networks.

Exact controllability of complex networks.
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复杂网络的精确可控性

DOI:
10.1038/ncomms3447
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发表时间:
2013
影响因子:
16.6
通讯作者:
Lai, Ying-Cheng
Lai, Ying-Cheng
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Yuan, Zhengzhong;Zhao, Chen;Di, Zengru;Wang, Wen-Xu;Lai, Ying-Cheng

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在科学和工程领域,控制复杂网络至关重要。尽管结构可控性理论近期有所发展,但我们仍然缺乏一个框架来控制无向复杂网络,特别是在给定链路权重的情况下。在此,我们引入一种基于最大重数的精确可控性范式,以确定实现对具有任意结构和链路权重分布的网络进行完全控制所需的最小驱动节点集。该框架重现了以结构矩阵为特征的有向网络的结构可控性。我们探究了大量真实网络和模型网络的可控性,发现具有相同权重的密集网络难以控制。我们提供了一种高效且准确的工具来评估大型稀疏和密集网络的可控性。精确可控性框架使我们能够全面理解网络特性对可控性的影响,这是我们最终实现对复杂系统控制的一个基本问题。 虽然已经能够计算对有向复杂网络施加完全控制的条件,但对于无向和加权网络,这种计算是不精确的。袁等人开发了一个用于确定任何复杂网络可控性的通用框架。
Controlling complex networks is of paramount importance in science and engineering. Despite the recent development of structural controllability theory, we continue to lack a framework to control undirected complex networks, especially given link weights. Here we introduce an exact controllability paradigm based on the maximum multiplicity to identify the minimum set of driver nodes required to achieve full control of networks with arbitrary structures and link-weight distributions. The framework reproduces the structural controllability of directed networks characterized by structural matrices. We explore the controllability of a large number of real and model networks, finding that dense networks with identical weights are difficult to be controlled. An efficient and accurate tool is offered to assess the controllability of large sparse and dense networks. The exact controllability framework enables a comprehensive understanding of the impact of network properties on controllability, a fundamental problem towards our ultimate control of complex systems.
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