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
复制标题
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
中科院分区:
文献类型:
--
作者:
Zheng Mingwen;Li Lixiang;Peng Haipeng;Xiao Jinghua;Yang Yixian;Zhao Hui
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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影响因子:
4.4
作者:
Manuel E. Gamez Urias;E. Sánchez;L. J. Ricalde
通讯作者:
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DOI:
10.1109/tsmcb.2008.927717
发表时间:
2008-12
期刊:
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
影响因子:
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DOI:
10.1109/tcsi.2003.818622
发表时间:
2003-11
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