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随机-无标度统一混合演化网络模型
引用本文:周海平,蔡绍洪,贾秀丽,龙艳.随机-无标度统一混合演化网络模型[J].上海理工大学学报,2008,30(3).
作者姓名:周海平  蔡绍洪  贾秀丽  龙艳
作者单位:1. 贵州大学电子科学与信息技术学院,贵阳,550025
2. 贵州财经学院,数理与统计分院,贵阳,550004
3. 贵州学院,计算机科学系,贵阳,550005
基金项目:国家自然科学基金 , 贵州省科学技术基金
摘    要:根据实际网络的特点,提出了一个随机-无标度统一混合演化网络模型.通过引入一个调节参数p将随机演化网络与(Barabási-Albert)无标度网络统一起来.理论计算和计算机模拟表明,当调节参数p从1变化到0时,网络结构实现了从随机演化网络到BA无标度网络的连续过渡.

关 键 词:随机演化网络  BA无标度网络  平均场理论  计算机模拟

Random-scale free unified evolving network model
ZHOU Hai-ping,CAI Shao-hong,JIA Xiu-li,LONG Yan.Random-scale free unified evolving network model[J].Journal of University of Shanghai For Science and Technology,2008,30(3).
Authors:ZHOU Hai-ping  CAI Shao-hong  JIA Xiu-li  LONG Yan
Abstract:The synchronization control problem of complex dynamical networks is considered by means of pinning strategy,that is,applying local linear feedback control to a small fraction of a large-scale network to ensure synchronization of the whole network.For a uniform complex dynamical network,linear matrix inequality(LMI) is adopted to derive a sufficient condition of synchronization.Analytical result shows that synchronization of heterogeneous networks may be easily reached by pinning nodes with big degree.Specifically,for a particular inner-coupling matrix,a sufficiently large coupling strength will ensure the whole network to achieve synchronization by pinning any one node of the network.Numerical simulations verify the analytical results.
Keywords:random evolving network  BA scale-free network  mean-field theory  computer simulation
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