Finite-time synchronization for a class of fuzzy cellular neural networks with time-varying coefficients and proportional delays

Wang Wentao

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Finite-time synchronization for a class of fuzzy cellular neural networks with time-varying coefficients and proportional delays

机译：Finite-time synchronization for a class of fuzzy cellular neural networks with time-varying coefficients and proportional delays

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摘要

Based on the finite-time stability theory, this paper deals with finite-time synchronization for a class of fuzzy cellular neural networks with time-varying coefficients and proportional delays. Using differential inequality techniques and the analysis approach, we derive some new and useful sufficient conditions of finite-time synchronization for the addressed systems. Finally, an illustrative example with its numerical simulations is given to show the effectiveness of main results. (C) 2017 Elsevier B.V. All rights reserved.

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来源
《Fuzzy sets and systems》 |2018年第1期|40-49|共10页
作者
Wang Wentao;
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作者单位

Shanghai Univ Engn Sci, Sch Fundamental Studies, Shanghai 201620, Peoples R China;

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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
Fuzzy cellular neural network; Finite-time synchronization; Time-varying coefficient; Proportional delay;

Finite-time synchronization for a class of fuzzy cellular neural networks with time-varying coefficients and proportional delays

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