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时滞竞争神经网络的全局指数稳定性
  • 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]江南大学通信与控制工程学院,江苏无锡214122
  • 相关基金：国家自然科学基金（60674026）;教育部科学技术研究重点项目（107058）资助课题
作者： 陈君[1], 崔宝同[1]
关键词： 竞争神经网络, LYAPUNOV函数, Jacobsthal不等式, 指数稳定, 变时滞, competitive neural networks, Lyapunov functions, Jacobsthal inequality, global exponentialstability, delay
中文摘要：

对于不同时标的时变时滞竞争神经网络的网络模型，通过构造适当的Lyapunov函数，结合微分不等式分析，研究了时变时滞竞争神经网络的全局指数稳定性，获得了新的全局指数稳定性判据，所得判据推广和改进了前人的相关结论。最后的数值仿真例子证明了该算法的有效性。

英文摘要：

The global exponential stability of competitive neural networks with different time scales and de lay is investigated. Based on the proper Lyapunov functions and analysis for the Jacobsthal .inequality, some new sufficient conditions for global exponential stable of the delayed competitive neural networks with different time scales are given. An illustrative example with its figsure of simulation is presented which demonstrates the usefulness of the proposed results.

同期刊论文项目
具有脉冲的时滞分布参数系统稳定性理论的研究
期刊论文 42 著作 1
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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