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- 2018
基于自适应控制的忆阻神经网络同步研究
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Abstract:
研究了带有时变时滞的忆阻神经网络同步问题.通过运用菲利波夫解框架、微分包含理论、自适应控制技术，用一种新颖的李雅普诺夫函数设计了驱动——响应系统的自适应同步规则，获得了带有时滞的忆阻神经网络的自适应同步条件.最后，通过仿真实验验证了同步条件的正确性.
In this paper, we study the synchronization of memristive neural networks with time-varying delays. Using the framework of Filippov solution, the differential inclusion theory and the adaptive control technique in combination with a novel Lyapunov function, we obtain a class of sufficient adaptive synchronization criteria in terms of memristive neural networks. Finally, the validity of the synchronization condition is verified by means of simulation experiments
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