کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
758394 | 896426 | 2012 | 17 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Generalized function projective (lag, anticipated and complete) synchronization between two different complex networks with nonidentical nodes Generalized function projective (lag, anticipated and complete) synchronization between two different complex networks with nonidentical nodes](/preview/png/758394.png)
Generalized function projective (lag, anticipated and complete) synchronization between two different complex networks with nonidentical nodes is investigated in this paper. Based on Barbalat’s lemma, some sufficient synchronization criteria are derived by applying the nonlinear feedback control. Although previous work studied function projective synchronization on complex dynamical networks, the dynamics of the nodes are coupled partially linear chaotic systems. In our work, the dynamics of the nodes of the complex networks are any chaotic systems without the limitation of the partial linearity. In addition, each network can be undirected or directed, connected or disconnected, and nodes in either network may have identical or different dynamics. The proposed strategy is applicable to almost all kinds of complex networks. Numerical simulations further verify the effectiveness and feasibility of the proposed synchronization method. Numeric evidence shows that the synchronization rate is sensitively influenced by the feedback strength, the time delay, the network size and the network topological structure.
► We study GFPLS, GFPAS and GFPS between two complex networks with diverse nodes.
► The proposed scheme is applicable to almost all kinds of complex networks.
► There is no constraint on the node dynamics, which can be any chaotic systems.
► A larger feedback strength will lead to the faster synchronization.
► The synchronization rate is also affected by time delay, network size or topology.
Journal: Communications in Nonlinear Science and Numerical Simulation - Volume 17, Issue 7, July 2012, Pages 3005–3021