具有时滞的非自治细胞神经网络的同步

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2020-01-01 DOI:10.23952/jnfa.2020.51

Azhar Halik, Aishan Wumaier

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引用次数: 0

摘要

．研究了两个延迟非自治细胞神经网络之间的一般衰减同步(GDS)问题。考虑了一种具有无限延迟的非自治情况。利用李雅普诺夫稳定性理论和有用的不等式技术，建立了一类非线性控制下被考虑系统GDS的几个充分条件。最后，通过数值模拟算例验证了所得结果的有效性和可行性。

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Synchronization on the non-autonomous cellular neural networks with time delays

. This paper is concerned with a general decay synchronization (GDS) between two delayed non-autonomous cellular neural networks. A non-autonomous case and inﬁnite delays are taken into consideration. By using the Lyapunov stability theory and employing useful inequality techniques, some sufﬁcient conditions on the GDS of the considered system are established based on a type of nonlinear control. In addition, an example with numerical simulations is provided to demonstrate the effectiveness and feasibility of the obtained results.

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.