Halanay不等式的推广及在时滞神经网络稳定性中的应用（英文）

程鹏; 胡成; 于娟

doi:10.13568/j.cnki.651094.651316.2021.12.14.0003

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Halanay不等式的推广及在时滞神经网络稳定性中的应用（英文）

数理科学 | 更新时间：2026-01-21

- Halanay不等式的推广及在时滞神经网络稳定性中的应用（英文）
- Halanay不等式的推广及在时滞神经网络稳定性中的应用（英文）
- 新疆大学学报（自然科学版中英文） 2022年39卷第6期页码：641-647
- 作者机构：
  
  新疆大学数学与系统科学学院
- 作者简介：
- 基金信息：
  
  supported by National Natural Science Foundation of the People’s Republic of China (61963033);the Key Project of Natural Science Foundation of Xinjiang (2021D01D10)
- DOI：10.13568/j.cnki.651094.651316.2021.12.14.0003
  中图分类号： TP183;O178
- 纸质出版：2022
- 稿件说明：
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[1]程鹏,胡成,于娟.Halanay不等式的推广及在时滞神经网络稳定性中的应用（英文）[J].新疆大学学报(自然科学版)(中英文),2022,39(06):641-647.
[1]程鹏,胡成,于娟.Halanay不等式的推广及在时滞神经网络稳定性中的应用（英文）[J].新疆大学学报(自然科学版)(中英文),2022,39(06):641-647. DOI： 10.13568/j.cnki.651094.651316.2021.12.14.0003.

DOI：10.13568/j.cnki.651094.651316.2021.12.14.0003.

摘要

建立了一类推广形式的Halanay不等式，并基于此研究了具有不同类型时滞的神经网络渐近稳定性．首先，通过引入?-类函数，并利用反证法，建立了一个时滞微分不等式来推广著名的Halanay不等式，该时滞可以是有界的或无界的，也可以是离散形式或比例形式．作为该不等式的一个应用，进一步讨论了含有不同类型时滞的神经网络渐近稳定性，并建立了稳定性判别准则．最后，通过数值模拟验证了相关理论结果．

Abstract

A type of generalized Halanay inequality is established and applied to the asymptotic stability analysis of neural networks with different time-delays. Firstly

by introducing ?-class functions and using the method of reduction to absurdity

a differential time-delayed inequality is established to generalize the well-known Halanay inequality

where the time-delay can be bounded or infinite

and can be discrete form or proportional form. As an application of the inequality

the asymptotic stability is investigated for neural networks with different types of delays and some stability criteria are derived. Finally

some numerical simulations are provided to verify the theoretical results.

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references

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