带有无界时滞的惯性项神经网络系统的反同步控制
The anti-synchronization control of inertial neural networks with unbounded time delays
投稿时间:2019-12-15  修订日期:2019-12-15
DOI:
中文关键词: 惯性神经网络  无界时滞  反同步  Lyapunov稳定性理论
英文关键词: Inertial neural networks  Unbounded time delays  Anti-synchronization  Lyapunov stability theory
基金项目:
作者单位E-mail
张国东 中南民族大学数学与统计学学院 zgd2008@mail.scuec.edu.cn 
龙常青 中南民族大学数学与统计学学院 lcqscun@163.com 
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中文摘要:
      研究一类带有无界时滞的惯性神经网络系统的反同步控制问题, 利用非降阶的方法、Lyapunov稳定性理论及一些不等式技巧, 获得了几个新的代数准则确保惯性实现全局反同步. 最后, 给出数值仿真例子验证所得理论结果.
英文摘要:
      The anti-synchronization control of a lass of inertial neural networks with unbounded time delays is discussed. Based on non-reduce order method, Lyapunov stability theory and some inequality skills, several criteria are obtained to ensure global anti-synchronization of inertial neural networks. At last, a numerical example is given to show the effectiveness of derived theory results.
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