4.7 Article

Inter-layer synchronization in two-layer networks via variable substitution control

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jfranklin.2019.12.019

Keywords

-

Funding

  1. National Key Research and Development Program of China [2018AAA0101100]
  2. National Natural Science Foundation of China [61973241, 61873171]
  3. Natural Science Foundation of Hubei Province [2019CFA007]
  4. Scientific Research Fund of Hunan Provincial Education Department [16B141]

Ask authors/readers for more resources

Among various control techniques, variable substitution control is one of the most practical one for synchronizing systems. In this paper, we study inter-layer synchronization of two-layer networks via variable substitution control. We focus on three cases: identical topologies with all nodes being controlled, different topologies with all nodes being controlled, and identical topologies with part of nodes being controlled. Theoretical and numerical results show that, controlling all nodes in the response layer can lead to inter-layer synchronization whatever the coupling strength is. However, for two-layer networks with non-identical topologies in the drive and response layers, the fully-connected network and the star network have the best driving ability, the ring network follows, and the chain has the worst. Furthermore, when partial nodes are controlled in the response layer, whether inter-layer synchronization occurs depends on the layer size, the inner-coupling matrix, the coupling strength as well as the number of nodes controlled in the response layer. The provided results offer illustrative and useful hints for synchronizing two networks via variable substitution control. (C) 2019 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available