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新疆工程学院数理学院
Published:2023
移动端阅览
[1]裴萍,韩思雨,卞继承,等.具有广义时滞的神经网络滞后同步分析[J].新疆大学学报(自然科学版)(中英文),2023,40(04):414-421+432.
[1]裴萍,韩思雨,卞继承,等.具有广义时滞的神经网络滞后同步分析[J].新疆大学学报(自然科学版)(中英文),2023,40(04):414-421+432. DOI: 10.13568/j.cnki.651094.651316.2022.11.23.0004.
DOI:10.13568/j.cnki.651094.651316.2022.11.23.0004.
研究了具有广义时滞的神经网络滞后同步问题.首先
提出了一类包含离散时滞和比例时滞的一阶神经网络模型.其次
通过对一阶神经网络设计反馈控制策略
利用Lyapunov泛函理论和Barbalat引理
给出了驱动-响应神经网络的滞后同步条件.最后
通过3个数值实例来验证理论结果的有效性.
The lag synchronization problem of a class of neural networks with generalized delays is studied.Firstly
a class of first-order neural network models including discrete delays and proportional delays are proposed.Secondly
by designing a feedback control strategy for the first-order neural system
using the Lyapunov functional theory and the Barbarat lemma
the lag synchronization condition of the drive-response neural network is given.Finally
three numerical examples are given to verify the validity of the theoretical results.
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