Wang Ya, Zhang Dapeng, Wang Liang, Li Qing, Cao Hui, Wang Xingang
School of Physics and Information Technology, Shaanxi Normal University, Xi'an 710062, China.
Chaos. 2022 Sep;32(9):093139. doi: 10.1063/5.0107866.
Pinning control of cluster synchronization in a globally connected network of chaotic oscillators is studied. It is found in simulations that when the pinning strength exceeds a critical value, the oscillators are synchronized into two different clusters, one formed by the pinned oscillators and the other one formed by the unpinned oscillators. The numerical results are analyzed by the generalized method of master stability function (MSF), in which it is shown that whereas the method is able to predict the synchronization behaviors of the pinned oscillators, it fails to predict the synchronization behaviors of the unpinned oscillators. By checking the trajectories of the oscillators in the phase space, it is found that the failure is attributed to the deformed synchronization manifold of the unpinned oscillators, which is clearly deviated from that of isolated oscillator under strong pinnings. A similar phenomenon is also observed in the pinning control of cluster synchronization in a complex network of symmetric structures and in the self-organized cluster synchronization of networked neural oscillators. The findings are important complements to the generalized MSF method and provide an alternative approach to the manipulation of synchronization behaviors in complex network systems.
研究了全局连接的混沌振荡器网络中集群同步的牵制控制。在仿真中发现,当牵制强度超过临界值时,振荡器会同步到两个不同的集群中,一个由被牵制的振荡器形成,另一个由未被牵制的振荡器形成。通过广义主稳定性函数(MSF)方法对数值结果进行了分析,结果表明,虽然该方法能够预测被牵制振荡器的同步行为,但无法预测未被牵制振荡器的同步行为。通过检查相空间中振荡器的轨迹发现,这种失败归因于未被牵制振荡器的同步流形发生了变形,在强牵制下明显偏离了孤立振荡器的同步流形。在对称结构的复杂网络中集群同步的牵制控制以及网络神经振荡器的自组织集群同步中也观察到了类似现象。这些发现是对广义MSF方法的重要补充,并为复杂网络系统中同步行为的操纵提供了一种替代方法。