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具有多时滞的一列线性耦合神经网络同步稳定性

Synchronization Stability in an Array of Linearly Coupled Connected Neural Networks with Multiple Delays

中文摘要英文摘要

基于LMI方法,本文研究了具有多时滞的一列线性耦合神经网络同步稳定性问题。本文的结果极大地改进和扩展了一些早期的结果。备注中讨论了递归神经网络的稳定性与耦合神经网络同步稳定的一些主要问题。一个数值例子验证了本文结果的有效性。

In this paper, synchronization stability problem for arrays of linearly coupled multiple delayed neural networks is studied on the basis of LMI method. The derived results greatly improve and generalize some earlier results. Some key problems between stability of recurrent neural networks and synchronization stability of arrays of coupled neural networks are discussed in some Remarks. An numerical example is used to illustrate the effectiveness of the derived results.

王占山、宫大为

自动化基础理论

同步稳定性耦合神经网络多时滞全局稳定性

Synchronization stabilityarrays of coupled neural networksmultiple delaysglobal stability

王占山,宫大为.具有多时滞的一列线性耦合神经网络同步稳定性[EB/OL].(2011-11-28)[2025-07-20].http://www.paper.edu.cn/releasepaper/content/201111-492.点此复制

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