[1]吴育清,黄振坤,赖艺芬.脉冲控制的复值复杂网络的最终有界性[J].集美大学学报(自然科学版),2023,28(6):554-560.
WU Yuqing,HUANG Zhenkun,LAI Yifen.Ultimate Boundedness of Complex Valued Complex Networks Based on Impulsive Control[J].Journal of Jimei University,2023,28(6):554-560.
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《集美大学学报(自然科学版)》[ISSN:1007-7405/CN:35-1186/N]
- 卷:
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第28卷
- 期数:
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2023年第6期
- 页码:
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554-560
- 栏目:
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数理科学与信息工程
- 出版日期:
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2023-11-28
文章信息/Info
- Title:
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Ultimate Boundedness of Complex Valued Complex Networks Based on Impulsive Control
- 作者:
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吴育清; 黄振坤; 赖艺芬
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集美大学理学院,福建 厦门 361021
- Author(s):
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WU Yuqing; HUANG Zhenkun; LAI Yifen
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School of Science,Jimei University,Xiamen 361021,China
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- 关键词:
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非自治复值复杂网络; 脉冲控制; 分布时滞; 最终有界
- Keywords:
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nonautonomous complex valued complex networks; impulse; distributed delay; ultimate boundedness
- 分类号:
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-
- DOI:
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- 文献标志码:
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A
- 摘要:
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基于脉冲控制的方法,对节点进行动态控制,研究具有分布时滞的非自治复值动态复杂网络。利用Lyapunov方法,得到脉冲控制下系统的有界性和稳定性的判断依据,推广了相关的结果。数值模拟表明了所获结论的有效性。
- Abstract:
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Based on the impulsive control method,the nodes are dynamically controlled,and the nonautonomous complex-valued dynamic complex networks with distributed time delay are studied.The judgment basis of boundedness and stability of the system under impulsive control is obtained by Lyapunov method,which generalizes the relevant results.Numerical simulation shows the effectiveness of the conclusions.
参考文献/References:
相似文献/References:
[1]陈秋媛,宾红华,黄振坤.时标上高阶神经网络的同步[J].集美大学学报(自然科学版),2023,28(4):359.
CHEN Qiuyuan,BIN Honghua,HUANG Zhenkun.Synchronization of High Order Neural Networks on Time Scales[J].Journal of Jimei University,2023,28(6):359.
更新日期/Last Update:
2024-02-29