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适用于复杂动力系统的控制输入的时间。

Appropriate time to apply control input to complex dynamical systems.

机构信息

Laboratory of Systems Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran.

School of Mathematics and Computer Science, University of Tehran, Tehran, Iran.

出版信息

Sci Rep. 2020 Dec 16;10(1):22035. doi: 10.1038/s41598-020-78909-8.

Abstract

Controlling a network structure has many potential applications many fields. In order to have an effective network control, not only finding good driver nodes is important, but also finding the optimal time to apply the external control signals to network nodes has a critical role. If applied in an appropriate time, one might be to control a network with a smaller control signals, and thus less energy. In this manuscript, we show that there is a relationship between the strength of the internal fluxes and the effectiveness of the external control signal. To be more effective, external control signals should be applied when the strength of the internal states is the smallest. We validate this claim on synthetic networks as well as a number of real networks. Our results may have important implications in systems medicine, in order to find the most appropriate time to inject drugs as a signal to control diseases.

摘要

控制网络结构在许多领域都有许多潜在的应用。为了有效地控制网络,不仅要找到好的驱动节点,而且找到向网络节点施加外部控制信号的最佳时间也起着至关重要的作用。如果在适当的时间应用,人们可以用较小的控制信号来控制网络,从而消耗较少的能量。在本文中,我们表明内部通量的强度与外部控制信号的有效性之间存在关系。为了更有效,外部控制信号应该在内部状态强度最小时施加。我们在合成网络以及许多实际网络上验证了这一说法。我们的研究结果可能对系统医学有重要意义,以便找到最合适的时间注入药物作为控制疾病的信号。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f91d/7744535/870dca6a1749/41598_2020_78909_Fig1_HTML.jpg

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