具有混合时滞的离散混沌神经网络的指数H_∞同步(英文)

刘洋; 蒋海军

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具有混合时滞的离散混沌神经网络的指数H_∞同步(英文)

数理科学 | 更新时间：2026-01-21

- 具有混合时滞的离散混沌神经网络的指数H_∞同步(英文)
- 具有混合时滞的离散混沌神经网络的指数H_∞同步(英文)
- 新疆大学学报（自然科学版中英文） 2012年29卷第1期页码：46-52
- 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 the National Natural Science Foundation of P.R.China(60764003);the Natural Science Foundation of Xinjiang(2010211A07);the Scientific Research Programmes of Colleges in Xinjiang(XJEDU2007G01)
- DOI：
  中图分类号： O231;O415.5
- 纸质出版：2012
- 稿件说明：
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[1]刘洋,蒋海军.具有混合时滞的离散混沌神经网络的指数H_∞同步(英文)[J].新疆大学学报(自然科学版),2012,29(01):46-52.

刘洋, 蒋海军. 具有混合时滞的离散混沌神经网络的指数H_∞同步(英文)[J]. Journal of Xinjiang University (Natural Science Edition in Chinese and English), 2012, 29(1): 46-52.
[1]刘洋,蒋海军.具有混合时滞的离散混沌神经网络的指数H_∞同步(英文)[J].新疆大学学报(自然科学版),2012,29(01):46-52. DOI：

刘洋, 蒋海军. 具有混合时滞的离散混沌神经网络的指数H_∞同步(英文)[J]. Journal of Xinjiang University (Natural Science Edition in Chinese and English), 2012, 29(1): 46-52. DOI：

摘要

考虑了一类具外部干扰的混合时滞的离散混合神经网络的指数H∞同步.基于Lyapunov理论和LMIs公式

建立的反馈控制理论不仅保证了驱动和响应系统的稳定同步

而且减少了外部干扰对H∞范数约束的影响.最后

一个控制存在准则以LMIs的形式给出了.

Abstract

This article consider exponential H_∞ synchronization of a general class of multiple delayed discrete-time chaotic neural networks with external disturbance.Based on Lyapunov theory and linear matrix(LMI) formulation

the feedback controllers is established to not only guarantee exponential stable synchronization of both drive and response systems

but also reduce the effect of external disturbance to an H ∞ norm constraint.Finally

a criterion for existence of the controller is given in terms of LMIs.

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references

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