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Global exponential stability of mixed discrete and distributively delayed cellular neural network
  • ISSN号:1674-1056
  • 期刊名称:《中国物理B:英文版》
  • 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] TP271.8[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—检测技术与自动化装置]
  • 作者机构:[1]Nonlinear Scientific Research Center, Jiangsu University, Zhenjiang 212013, China
  • 相关基金:Project supported by the National Natural Science Foundations of China (Grant No. 70871056), the Society Science Foundation from Ministry of Education of China (Grant No. 08JA790057) and the Advanced Talents' Foundation and Student's Foundation of Jiangsu University, China (Grant Nos. 07JDG054 and 07A075).
中文摘要:

This paper concernes analysis for the global exponential stability of a class of recurrent neural networks with mixed discrete and distributed delays.It first proves the existence and uniqueness of the balance point,then by employing the Lyapunov-Krasovskii functional and Young inequality,it gives the sufficient condition of global exponential stability of cellular neural network with mixed discrete and distributed delays,in addition,the example is provided to illustrate the applicability of the result.

英文摘要:

This paper concernes analysis for the global exponential stability of a class of recurrent neural networks with mixed discrete and distributed delays. It first proves the existence and uniqueness of the balance point, then by employing the Lyapunov-Krasovskii functional and Young inequality, it gives the sufficient condition of global exponential stability of cellular neural network with mixed discrete and distributed delays, in addition, the example is provided to illustrate the applicability of the result.

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期刊信息
  • 《中国物理B:英文版》
  • 中国科技核心期刊
  • 主管单位:中国科学院
  • 主办单位:中国物理学会和中国科学院物理研究所
  • 主编:欧阳钟灿
  • 地址:北京 中关村 中国科学院物理研究所内
  • 邮编:100080
  • 邮箱:
  • 电话:010-82649026 82649519
  • 国际标准刊号:ISSN:1674-1056
  • 国内统一刊号:ISSN:11-5639/O4
  • 邮发代号:
  • 获奖情况:
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  • 被引量:406