| 具有Markov切换随机神经网络混合时滞依赖的自适应同步 |
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| 引用本文： | 周阿丽,印凡成.具有Markov切换随机神经网络混合时滞依赖的自适应同步[J].南京气象学院学报,2016,8(6):513-517. |
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| 作者姓名： | 周阿丽 印凡成 |
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| 作者单位： | 河海大学 理学院, 南京, 211100;河海大学 理学院, 南京, 211100 |
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| 基金项目： | 中央高校科研业务费青年教师科研创新能力培育项目A类（2015B19814） |
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| 摘 要： | 运用Lyapunov函数方法，基于泛函微分方程的不变原理、随机分析理论以及自适应反馈控制技术，给出了具有Markov切换的随机神经网络混合时滞依赖的自适应同步的充分性判据，它与线性矩阵不等式方法相比更容易验证.最后，通过一个数值模拟例子验证了理论结果的正确性及有效性.
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| 关 键 词： | 自适应同步 Markov切换 时变时滞 随机神经网络 Cohen-Grossberg神经网络 |
| 收稿时间： | 2016/4/25 0:00:00 |
Adaptive synchronization of stochastic neural networks with mixed time-varying delays and Markovian switching |
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| ZHOU Ali and YIN Fancheng.Adaptive synchronization of stochastic neural networks with mixed time-varying delays and Markovian switching[J].Journal of Nanjing Institute of Meteorology,2016,8(6):513-517. |
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| Authors: | ZHOU Ali and YIN Fancheng |
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| Institution: | College of Science, Hohai University, Nanjing 211100;College of Science, Hohai University, Nanjing 211100 |
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| Abstract: | By using the Lyapunov function,the invariant principle of functional differential equation and stochastic analysis theory,as well as adaptive feedback control technique,some sufficient conditions are derived to achieve complete adaptive synchronization of the addressed neural networks.Our synchronization criterion is easily verified and does not solve any linear matrix inequality.Moreover,a numerical example and its simulation are provided,which demonstrate the effectiveness and correctness of the theoretical results. |
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| Keywords: | adaptive synchronization Markov switching time-varying delays stochastic neural network Cohen-Grossberg neural network |
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