Fixed-Time Synchronization for Fuzzy Cellular Neural Networks with Time-Varying Coefficients and Delays

刘 阳; 张松环; 丁 玮

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Fixed-Time Synchronization for Fuzzy Cellular Neural Networks with Time-Varying Coefficients and Delays

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This paper studies the fixed-time synchronization problem of fuzzy cellular neural networks (FCNNs) with time-varying coefficients and time-varying delays. The purpose is to be able to make two FCNNs with time-varying coefficients and time-varying delays can be synchronized in a finite time by constructing a suitable controller, and the time required for system synchronization can be preset by changing the parameters of the controller.The main method is to canstruct a suitable controller and Lyapunov function, and use the fixed-time stability theory and some inequality techniques to obtain some new sufficient conditions for fixed-time synchronization of FCNNs with time-varying coefficients and time-varying delays. Finally, an example is given to prove the validity of the main results of this paper.

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《Pure Mathematics》 |2021年第7期|1369-1378|共10页
作者
刘阳; 张松环; 丁玮;
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作者单位

上海师范大学, 数理学院;

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原文格式 PDF
正文语种汉语
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关键词
Fuzzy Cellular Neural Network; Fixed-Time Synchronization; Time-Varying Coefficient; Time-Varying Delay;

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Fixed-Time Synchronization for Fuzzy Cellular Neural Networks with Time-Varying Coefficients and Delays

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