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时变时滞不确定性神经网络的被动性准则

刘斌 徐谦

计算机应用与软件2012,Vol.29Issue(8):135-137,140,4.
计算机应用与软件2012,Vol.29Issue(8):135-137,140,4.

时变时滞不确定性神经网络的被动性准则

PASSIVITY CRITERION FOR UNCERTAIN NEURAL NETWORKS WITH TIME-VARYING DELAYS

刘斌 1徐谦1

作者信息

  • 1. 陕西科技大学电气与信息工程学院 陕西西安710021
  • 折叠

摘要

Abstract

This paper investigates the passivity problem for uncertain neural networks with time-varying delays. By constructing proper Lyapunov functionals and using some analytic techniques, a new condition is given to ensure the passivity of the uncertain neural networks with time-varying delays. The passivity condition is expressed in terms oflinear matrix inequality (LMI) , which can be easily solved by using the effective interior-point algorithm. The validity of the method is proved by a numerical example.

关键词

神经网络/时变时滞/被动性分析/线性矩阵不等式

Key words

Neural networks/Time-varying delays/Passivity analysis/LMI

分类

信息技术与安全科学

引用本文复制引用

刘斌,徐谦..时变时滞不确定性神经网络的被动性准则[J].计算机应用与软件,2012,29(8):135-137,140,4.

基金项目

陕西省自然科学基础研究计划项目(2009JM8003) (2009JM8003)

陕西省教育厅专项科研计划项目(2010JK422) (2010JK422)

计算机应用与软件

OA北大核心CSCDCSTPCD

1000-386X

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