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Quantized intermittent control tactics for exponential synchronization of quaternion-valued memristive delayed neural networks
ISA Transactions ( IF 7.3 ) Pub Date : 2021-07-20 , DOI: 10.1016/j.isatra.2021.07.029
Tingting Zhang 1 , Jigui Jian 1
Affiliation  

This article studies the global exponential synchronization (GES) of quaternion-valued memristive delayed neural networks (QVMDNNs) by quantized intermittent control (QIC). Without decomposing the original systems into usual real-valued or complex-valued ones, the discussed system is directly processed in both cases of the differential inclusion theory. Based on two QIC strategies and applying Lyapunov functional method and inequality techniques, several new delay-dependent criteria in the form of real-valued algebraic inequalities are directly derived to assure the GES of the concerned system. Compared to the traditional feedback control, the QIC strategy can reduce the control expenses and shorten time to achieve the GES. Ultimately, two examples are given to validate the effectiveness and advantages of the proposed outcomes.



中文翻译:

四元值忆阻延迟神经网络指数同步的量化间歇控制策略

本文通过量化间歇控制(QIC)研究四元值忆阻延迟神经网络(QVMDNNs)的全局指数同步(GES)。在不将原始系统分解为通常的实值或复值系统的情况下,在微分包含理论的两种情况下都直接处理了所讨论的系统。基于两种QIC策略并应用Lyapunov泛函方法和不等式技术,直接导出了几个以实值代数不等式形式存在的新的延迟相关准则,以确保相关系统的GES。与传统的反馈控制相比,QIC策略可以降低控制费用,缩短实现GES的时间。最后,给出了两个例子来验证所提出结果的有效性和优势。

更新日期:2021-07-20
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