[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):359-365.
CHEN Qiuyuan,BIN Honghua,HUANG Zhenkun.Synchronization of High Order Neural Networks on Time Scales[J].Journal of Jimei University,2023,28(4):359-365.
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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4期
- 页码:
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359-365
- 栏目:
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数理科学与信息工程
- 出版日期:
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2023-07-28
文章信息/Info
- Title:
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Synchronization of High Order Neural Networks on Time Scales
- 作者:
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陈秋媛; 宾红华; 黄振坤
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(集美大学理学院,福建 厦门 361021)
- Author(s):
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CHEN Qiuyuan; BIN Honghua; HUANG Zhenkun
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(School of Science,Jimei University,Xiamen 361021,China)
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- 关键词:
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高阶神经网络; 同步; 脉冲控制; 时标
- Keywords:
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high order neural networks; synchronization; impulsive control; time scale
- 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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研究时标上高阶神经网络的同步问题,通过构造李雅普诺夫函数和运用线性矩阵不等式技巧,给出高阶神经网络在脉冲控制下达到同步的充分条件。最后给出一个例子,验证了数值模拟结果的准确性。
- Abstract:
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The synchronization problem of high order neural networks on time scales was investigated. By constructing a Lyapunov function and employing linear matrix inequality(LMI) techniques, the sufficient condition for the synchronization of high order neural networks under impulsive control was obtained. Finally, an example was given to verify the accuracy of the results by numerical simulation.
参考文献/References:
相似文献/References:
[1]陈荣旺,许碧荣.非线性耦合分数阶系统的异结构同步[J].集美大学学报(自然科学版),2014,19(5):381.
CHEN Rong-wang,XU Bi-rong.Synchronization of Nonlinear Coupled Fractional-order Systems with Different Structures[J].Journal of Jimei University,2014,19(4):381.
更新日期/Last Update:
2023-11-05