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arXiv 0811.0649nlin.CD
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耦合近恒等动力系统的主稳定性函数

Master Stability Functions for Coupled Near-Identical Dynamical Systems

Jie Sun, Erik M. Bollt, Takashi Nishikawa

摘要:

我们推导出一个主稳定性函数(MSF)的网络中的耦合动力系统的同步小,但任意的参数变化。类似于相同系统的MSF,我们的广义MSF同时解决了所有可能的连接结构的近同步状态(NSS)的线性稳定性问题。我们还得到了稳定的近同步的一般充分条件,并表明同步误差与参数变化的大小成线性比例,我们的分析强调了拉普拉斯特征向量在近同系统网络同步研究中所起的重要作用。

英文摘要:

We derive a master stability function (MSF) for synchronization in networks of coupled dynamical systems with small but arbitrary parametric variations. Analogous to the MSF for identical systems, our generalized MSF simultaneously solves the linear stability problem for near-synchronous states (NSS) for all possible connectivity structures. We also derive a general sufficient condition for stable near-synchronization and show that the synchronization error scales linearly with the magnitude of parameter variations.Our analysis underlines significant roles played by the Laplacian eigenvectors in the study of network synchronization of near-identical systems.

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