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pth moment stochastic exponential anti-synchronization of delayed complex-valued neural networks

机译:Pth Moment随机指数反同步延迟复合神经网络

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This paper focuses on the pth moment stochastic exponential anti-synchronization problem for delayed complex-valued neural networks (CVNNs). By combining Ito's differential formula, Halanay inequality and some inequalities techniques, via the designed delay-dependent controller, two different criteria are presented for guaranteeing pth moment anti-synchronization exponentially of the addressed systems by constructing appropriate Lyapunov functionals. Different from the previous works, the anti-synchronization control problem is addressed for CVNNs with the simultaneous existence of stochastic disturbances and time delays. Similar results can also be obtained for delayed CVNNs without stochastic disturbances or real-valued ones. The in-depth analysis results improve and extend some in the existing literature. In the end, two simulation examples are provided to show the effectiveness of the obtained results.
机译:本文重点介绍延迟复合神经网络(CVNNS)的Pth Mome随机指数反同步问题。 通过组合ITO的差分公式,通过设计的延迟依赖控制器,通过构建适当的Lyapunov功能来保证所寻址系统的Pth矩对所针对性的第P时刻反同步的两种不同标准来组合Halanay不等式和一些不等式技术。 与以前的作品不同,对CVNN的反同步控制问题有关随机扰动和时间延迟的同时存在。 对于没有随机扰动或实值的延迟CVNN,也可以获得类似的结果。 深入分析结果改善并延伸了现有文献中的一些。 最后,提供了两种模拟实施例以显示所获得的结果的有效性。

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