Quasi-synchronization control of quaternion-valued fuzzy memristive neural networks

Li R.; Cao J.; Li N.

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Quasi-synchronization control of quaternion-valued fuzzy memristive neural networks

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? 2023 Elsevier B.V.In this paper, a general class of delayed fuzzy memristive system described by quaternion parameters is considered. By designing a new Lyapunov function and appropriate feedback controller, sufficient conditions formulated by norm inequality are given to ensure the quasi-synchronization of the quaternion-valued fuzzy memristive neural networks. It should be noted that, there is no systematic method to compare the size of two quaternions, so it is difficult to ensure the existence of the closed convex hull. To do so, a nonlinear scalarization approach is proposed in this paper, which established a generalized comparison method. Numerical example is given to show the effectiveness of our new results.

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《Fuzzy sets and systems》 |2023年第30期|1.1-1.15|共15页
作者
Li R.; Cao J.; Li N.;
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作者单位

School of Mathematics and Statistics Shaanxi Normal University;

School of Mathematics Southeast University||Yonsei Frontier Lab Yonsei University;

College of Mathematics and Information Science Henan University of Economics and Law;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类数学;
关键词
Memristive system; Nonlinear scalarization; Norm; Quasi-synchronization; Quaternion;

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Quasi-synchronization control of quaternion-valued fuzzy memristive neural networks

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