典型文献
Spatiotemporal Input Control:Leveraging Temporal Variation in Network Dynamics
文献摘要：
The number of available control sources is a limiting factor to many network control tasks.A lack of input sources can result in compromised controllability and/or sub-optimal network performance,as noted in engineering applications such as the smart grids.The mechanism can be explained by a linear time-invariant model,where structural controllability sets a lower bound on the number of required sources.Inspired by the ubiquity of time-varying topologies in the real world,we propose the strategy of spatiotemporal input control to overcome the source-related limit by exploiting temporal variation of the network topology.We theoretically prove that under this regime,the required number of sources can always be reduced to 2.It is further shown that the cost of control depends on two hyperparameters,the numbers of sources and intervals,in a trade-off fashion.As a demonstration,we achieve controllability over a complex network resembling the nervous system of Caenorhabditis elegans using as few as 6％of the sources predicted by a static control model.This example underlines the potential of utilizing topological variation in complex network control problems.
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作者姓名：
Yihan Lin;Jiawei Sun;Guoqi Li;Gaoxi Xiao;Changyun Wen;Lei Deng;H.Eugene Stanley
作者机构：
Department of Precision Instrument,Tsinghua University,Beijing 100084,China;Department of Bio-engineering,Stanford University,CA 94305 USA;Department of Precision Instrument,Tsinghua University,Beijing 100084;Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China;School of Electrical and Electronic Engineering,Nanyang Technological University,Singapore 639798,Singapore;Department of Physics and Center for Polymer Studies,Boston University,MA 02215 USA
文献出处：
引用格式：
[1]Yihan Lin;Jiawei Sun;Guoqi Li;Gaoxi Xiao;Changyun Wen;Lei Deng;H.Eugene Stanley-.Spatiotemporal Input Control:Leveraging Temporal Variation in Network Dynamics)[J].自动化学报（英文版）,2022(04):635-651
A类：
ubiquity
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AB值：
0.609713
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