Parameters estimation and synchronization of uncertain coupling recurrent dynamical neural networks with time-varying delays based on adaptive control

Parameters estimation and synchronization of uncertain coupling recurrent dynamical neural networks with time-varying delays based on adaptive control
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基于自适应控制的时变时滞不确定耦合循环动态神经网络参数估计与同步

DOI:
10.1007/s00521-016-2822-6
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发表时间:
2018-10
影响因子:
6
通讯作者:
Zhao Hui
Zhao Hui
中科院分区:
计算机科学3区
文献类型:
--
作者:
Zheng Mingwen;Li Lixiang;Peng Haipeng;Xiao Jinghua;Yang Yixian;Zhao Hui

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本文主要研究耦合递归动态神经网络(CRDNN)的参数估计和同步。这里,CRDNN 的权重和耦合参数是未知的。通过设计新的自适应控制器和参数更新规则,为CRDNN的参数估计和同步问题建立了一个简单的线性矩阵不等式准则。我们通过构造合适的李雅普诺夫函数来证明这个结论。数值模拟验证了结论的有效性。
This paper mainly studies the parameters estimation and synchronization of coupling recurrent dynamical neural networks (CRDNNs). Here, the weights and coupling parameters of CRDNNs are unknown. By designing a new adaptive controller and parameters update rules, a simple linear matrix inequality criterion is established for the parameters estimation and synchronization problem of CRDNNs. We prove the conclusion by constructing a suitable Lyapunov function. A numerical simulation is given to show the effectiveness of the conclusion.
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