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Dissipativity Analysis of Neural Networks with Time-varying Delays
  • ISSN号：1001-506X
  • 期刊名称：《系统工程与电子技术》
  • 时间：0
  • 分类：TP183[自动化与计算机技术—控制科学与工程;自动化与计算机技术—控制理论与控制工程]
  • 作者机构：[1]School of Communication and Control Engineering, 3iangnan University, Wuxi, 3iangsu 214122, PI~C
  • 相关基金：This work was supported by National Natural Science Foundation of China （No. 60674026）, Key Project of Chinese Ministry of Education （No. 107058）, Jiangsu Provincial Natural Science Foundation of China （No. BK2007016）.
作者： Yan Sun Bao-Tong Cui[1]
关键词： 神经网络, 消耗性分析, 李雅普诺夫函数, 时变延迟, Neural network, dissipativity, Lyapunov functional
中文摘要：

为神经网络的 dissipativity 的一个新定义在这篇论文被介绍。由构造合适的 Lyapunov functionals 并且使用一些分析技术，足够的条件被给以线性矩阵不平等保证神经网络的 dissipativity 与或没有变化时间的参量的不确定性和 integro 微分的神经网络。数字例子被给说明获得的结果的有效性。

英文摘要：

A new definition of dissipativity for neural networks is presented in this paper. By constructing proper Lyapunov functionals and using some analytic techniques, sufficient conditions are given to ensure the dissipativity of neural networks with or without time-varying parametric uncertainties and the integro-differential neural networks in terms of linear matrix inequalities. Numerical examples are given to illustrate the effectiveness of the obtained results.

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期刊信息
  • 《系统工程与电子技术》
  • 北大核心期刊（2011版）
  • 主管单位:中国航天科工集团公司
  • 主办单位:中国航天科工防御技术研究院 中国宇航学会 中国系统工程学会
  • 主编：施荣
  • 地址：北京142信箱32分箱
  • 邮编：100854
  • 邮箱：xtgcydzjs@126.com
  • 电话：010-68388406
  • 国际标准刊号：ISSN：1001-506X
  • 国内统一刊号：ISSN：11-2422/TN
  • 邮发代号:82-269
  • 获奖情况:
  • 全国中文核心期刊,全国优秀科技期刊,中国科技论文统计用刊,中国期刊方阵“双百”期刊
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  • 被引量:34341