title: Driving-based generalized synchronization in two-layer networks via pinning control.
abstract: Synchronization of complex networks has been extensively investigated in various fields. In the real world, one network is usually affected by another one but coexists in harmony with it, which can be regarded as another kind of synchronization--generalized synchronization (GS). In this paper, the GS in two-layer complex networks with unidirectional inter-layer coupling via pinning control is investigated based on the auxiliary-system approach. Specifically, for two-layer networks under study, one is considered as the drive network and the other is the response one. According to the auxiliary-system approach, output from the drive layer is designed as input for the response one, and an identical duplication of the response layer is constructed, which is driven by the same driving signals. A sufficient condition for achieving GS via pinning control is presented. Numerical simulations are further provided to illustrate the correctness of the theoretical results. It is also revealed that the least number of pinned nodes needed for achieving GS decreases with the increasing density of the response layer. In addition, it is found that when the intra-layer coupling strength of the response network is large, nodes with larger degrees should be selected to pin first for the purpose of achieving GS. However, when the coupling strength is small, it is more preferable to pin nodes with smaller degrees. This work provides engineers with a convenient approach to realize harmonious coexistence of various complex systems, which can further facilitate the selection of pinned systems and reduce control cost.
authors.affiliation: School of Mathematics and Statistics, Wuhan University, Hubei 430072, China.
authors.forename: Di
authors.initials: D
authors.lastname: Ning
authors.affiliation: School of Mathematics and Statistics, Wuhan University, Hubei 430072, China.
authors.forename: Xiaoqun
authors.initials: X
authors.lastname: Wu
authors.affiliation: School of Mathematics and Statistics, Wuhan University, Hubei 430072, China.
authors.forename: Jun-an
authors.initials: JA
authors.lastname: Lu
authors.affiliation: Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China.
authors.forename: Jinhu
authors.initials: J
authors.lastname: Lü