Impulsive Synchronization of Stochastic Neural Networks via Controlling Partial States
作者: Yuanyuan Li
作者单位: 1Nanjing Forestry University
刊名: Neural Processing Letters, 2017, Vol.46 (1), pp.59-69
来源数据库: Springer Nature Journal
DOI: 10.1007/s11063-016-9568-0
关键词: SynchronizationNeural networksImpulsive controlPartial states
原始语种摘要: In the paper, synchronization problem for stochastic neural networks are studied by impulsively controlling partial states. At each impulsive instant, only part of the states are controlled to realize the synchronization of impulsively coupled stochastic neural networks. By using the method of average impulsive interval, less conservative synchronization criteria are derived. The derived sufficient conditions are closely related to the parameters of system dynamics, impulsive gain, impulsive interval and the proportion of the controlled components. Finally, numerical example is given to illustrate the effectiveness of our theoretical results.
全文获取路径: Springer Nature  (合作)
影响因子:1.24 (2012)

  • impulsive 脉冲的
  • effectiveness 有效性
  • neural 神经系统的
  • interval 区间
  • derived 导生的
  • stochastic 随机的
  • realize 体会
  • controlled 受控
  • instant 瞬间
  • criteria 准则