journal6 ›› 2014, Vol. 35 ›› Issue (1): 36-41.DOI: 10.3969/j.issn.1007-2985.2014.01.009

• 物理与电气工程 • 上一篇    下一篇

含无穷分布时滞的离散时间耦合神经网络同步分析

钱学明   

  1. (1.无锡科技职业学院物联网技术学院,江苏 无锡 214028,2.江南大学物联网工程学院,江苏 无锡 214122)
  • 出版日期:2014-01-25 发布日期:2014-01-25
  • 作者简介:钱学明(1981-),男,江苏无锡人,无锡科技职业学院物联网技术学院讲师,博士,主要从事复杂系统的控制理论研究。
  • 基金资助:

    江苏省自然科学基金资助项目(BK2010313)

Synchronization of an Array of Discrete-Time Coupled Neural Networks with Distributed Delays

 QIAN  Xue-Ming   

  1. (1.School of Internet of Things,Wuxi Vocational College of Science and Technology,Wuxi 214028,Jiangsu China;2.School of Internet of Things,Jiangnan University,Wuxi 214122,Jiangsu China)
  • Online:2014-01-25 Published:2014-01-25

摘要:针对一类离散时间耦合神经网络,讨论其含有变时滞和无穷分布时滞时的同步性.采用Lyapunov稳定性理论,结合线性矩阵不等式技术来获得时滞耦合神经网络全局渐近同步的充分性判据,并且所获得的判据依赖于时滞.同时,对细胞激活函数做了类扇形描述的假设,从而进一步减少结论的保守性.

关键词: 离散时间, 耦合神经网络, 变时滞, 无穷分布时滞, 全局渐近同步

Abstract: This paper discusses synchronization in an array of discrete-time coupled neural networks with mixed time delays.And,by employing Lyapunov-Krasovskii functional and linear matrix inequality (LMI) approach,the criteria for the asymptotically synchronization are obtained.Furthermore,the description of the activation functions is a more general sector-like nonlinear function.And the criteria of synchronization are therefore less conservative.

Key words: discrete-time, coupled neural network, time-varying delay, distributed time delay, global asymptotically synchronization

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