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具有不确定参数的时滞惯性忆阻神经网络的同步控制及应用研究

李爽,  王震

李爽, 王震. 具有不确定参数的时滞惯性忆阻神经网络的同步控制及应用研究[J]. 应用数学和力学, 2026, 47(10): 1335-1348. doi: 10.21656/1000-0887.460207
引用本文: 李爽, 王震. 具有不确定参数的时滞惯性忆阻神经网络的同步控制及应用研究[J]. 应用数学和力学, 2026, 47(10): 1335-1348. doi: 10.21656/1000-0887.460207
Li Shuang, Wang Zhen. Synchronization of Delayed Inertial Memristive Neural Networks With Uncertain Parameters[J]. Applied Mathematics and Mechanics, 2026, 47(10): 1335-1348. doi: 10.21656/1000-0887.460207
Citation: Li Shuang, Wang Zhen. Synchronization of Delayed Inertial Memristive Neural Networks With Uncertain Parameters[J]. Applied Mathematics and Mechanics, 2026, 47(10): 1335-1348. doi: 10.21656/1000-0887.460207

具有不确定参数的时滞惯性忆阻神经网络的同步控制及应用研究

doi: 10.21656/1000-0887.460207
基金项目: 

国家自然科学基金(面上项目)(62573274)

详细信息
    作者简介:

    李爽(1999—),男,硕士生(E-mail: 956782104@qq.com);王震(1977—),男,教授,博士生导师(通信作者. E-mail: wangzhen@sdust.edu.cn).

    通讯作者:

    王震(1977—),男,教授,博士生导师(通信作者. E-mail: wangzhen@sdust.edu.cn).

  • 中图分类号: O231

Synchronization of Delayed Inertial Memristive Neural Networks With Uncertain Parameters

Funds: 

The National Science Foundation of China(62573274)

  • 摘要: 本文研究一类具有不确定参数与混合时滞的惯性忆阻神经网络的精度预分配有限时间同步问题.通过设计事件触发控制器及事件触发条件,利用降阶法,将惯性系统转换为一阶系统,确定了转化后一阶系统的误差系统绝对值的一个上界,并借助反证法与积分法推导出了惯性系统实现精度预分配有限时间指数同步的判据,进一步利用积分不等式证明了系统不存在Zeno行为,最终通过数值算例与图像加密、解密应用验证了结果的有效性.
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出版历程
  • 收稿日期:  2025-11-19
  • 修回日期:  2025-12-29
  • 网络出版日期:  2026-10-31

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