Abstract:
:Recent works revealed that the energy required to control a complex network depends on the number of driving signals and the energy distribution follows an algebraic scaling law. If one implements control using a small number of drivers, e.g. as determined by the structural controllability theory, there is a high probability that the energy will diverge. We develop a physical theory to explain the scaling behaviour through identification of the fundamental structural elements, the longest control chains (LCCs), that dominate the control energy. Based on the LCCs, we articulate a strategy to drastically reduce the control energy (e.g. in a large number of real-world networks). Owing to their structural nature, the LCCs may shed light on energy issues associated with control of nonlinear dynamical networks.
journal_name
R Soc Open Scijournal_title
Royal Society open scienceauthors
Chen YZ,Wang LZ,Wang WX,Lai YCdoi
10.1098/rsos.160064subject
Has Abstractpub_date
2016-04-20 00:00:00pages
160064issue
4issn
2054-5703pii
rsos160064journal_volume
3pub_type
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