This title appears in the Scientific Report :
2016
Please use the identifier:
http://hdl.handle.net/2128/12939 in citations.
Please use the identifier: http://dx.doi.org/10.1038/srep37142 in citations.
Interaction Control to Synchronize Non-synchronizable Networks
Interaction Control to Synchronize Non-synchronizable Networks
Synchronization constitutes one of the most fundamental collective dynamics across networked systems and often underlies their function. Whether a system may synchronize depends on the internal unit dynamics as well as the topology and strength of their interactions. For chaotic units with certain i...
Saved in:
Personal Name(s): | Schröder, Malte (Corresponding author) |
---|---|
Chakraborty, Sagar / Witthaut, Dirk / Nagler, Jan / Timme, Marc | |
Contributing Institute: |
Systemforschung und Technologische Entwicklung; IEK-STE |
Published in: | Scientific reports, 6 (2016) S. 37142 |
Imprint: |
London
Nature Publishing Group
2016
|
DOI: |
10.1038/srep37142 |
PubMed ID: |
27853266 |
Document Type: |
Journal Article |
Research Program: |
Kollektive Nichtlineare Dynamik Komplexer Stromnetze Helmholtz Young Investigators Group "Efficiency, Emergence and Economics of future supply networks" Assessment of Energy Systems – Addressing Issues of Energy Efficiency and Energy Security |
Link: |
Get full text OpenAccess OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://dx.doi.org/10.1038/srep37142 in citations.
Synchronization constitutes one of the most fundamental collective dynamics across networked systems and often underlies their function. Whether a system may synchronize depends on the internal unit dynamics as well as the topology and strength of their interactions. For chaotic units with certain interaction topologies synchronization might be impossible across all interaction strengths, meaning that these networks are non-synchronizable. Here we propose the concept of interaction control, generalizing transient uncoupling, to induce desired collective dynamics in complex networks and apply it to synchronize even such non-synchronizable systems. After highlighting that non-synchronizability prevails for a wide range of networks of arbitrary size, we explain how a simple binary control may localize interactions in state space and thereby synchronize networks. Intriguingly, localizing interactions by a fixed control scheme enables stable synchronization across all connected networks regardless of topological constraints. Interaction control may thus ease the design of desired collective dynamics even without knowledge of the networks’ exact interaction topology and consequently have implications for biological and self-organizing technical systems. |