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Synchronization of Chaotic Systems via Adaptive Control of Symmetry Coefficient in Semi-Implicit Models

机译:半隐含模型对称系数自适应控制混沌系统的同步

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In this paper, we introduce the approach for the synchronization of semi-implicit finite-difference schemes using the adaptive symmetry coefficient control. The proposed method is based on the known parametric adaptive control method that is often used in communication schemes for covert data transmission. In such systems, the desired signal is encoded by switching between two values of the nonlinearity parameter of the chaotic system. The vulnerability of this scheme is that the switching can be detected since the properties of the generated signals can differ significantly depending on various values of nonlinearity parameters. In this study, we propose to synchronize semi-implicit schemes using the symmetry coefficient instead of parameters. Thus, synchronized models will generate signals with similar properties and the switching can be less detectable in comparison with the conventional approach. The developed adaptive synchronization technique can be useful in systems for secure data transmitting including secure communication for the industrial Internet of Things.
机译:在本文中,我们使用自适应对称系数控制介绍了半隐式有限差分方案同步的方法。所提出的方法基于已知的参数自适应控制方法,该参数自适应控制方法通常用于封面数据传输的通信方案。在这样的系统中,通过在混沌系统的非线性参数的两个值之间切换来编码所需信号。该方案的漏洞是可以检测到切换,因为所产生的信号的特性可以根据非线性参数的各种值而显着不同。在本研究中,我们建议使用对称系数而不是参数同步半隐式方案。因此,与传统方法相比,同步模型将产生具有相似性质的信号,并且可以更少可检测到可检测的。开发的自适应同步技术可用于安全数据发送的系统,包括用于工业互联网的安全通信。

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