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具有泄漏时滞的复值神经网络的全局同步性

闫欢YAN Huan,ZHAO Zhen-jiang赵振江宋乾坤Qiankun Song

2016应用数学和力学Computer Science被引 2开放获取

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摘要

The global synchronization of complex-valued neural networks with leakage time delays was investigated. For the considered complex-valued neural networks, the activation functions need not be separated into real parts and imaginary parts. Through the construction of appropriate Lyapunov-Krasovskii functionals, with the drive-response synchronization method, the free-weighting matrix method and the matrix inequality technique, a delay-dependent criterion for checking the global synchronization of complex-valued neural networks with leakage time delays was established in the form of complex-valued linear matrix inequality (LMI), meanwhile the design method for the synchronization controllers was given. Finally, a simulation example shows the effectiveness of the present work.

引用本文(GB/T 7714)

闫欢, YAN Huan,ZHAO Zhen-jiang, 赵振江, 等. 具有泄漏时滞的复值神经网络的全局同步性[J]. 应用数学和力学, 2016.

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DOI:https://doi.org/10.21656/1000-0887.370168

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