期刊导航

论文摘要

一类变时滞模糊神经网络系统解的渐近概周期性

Asymptotical almost periodicity of solutions of a class of fuzzy cellular neural networks with varying time-delays

作者:罗扬(四川大学数学学院);李洪旭(四川大学数学学院)

Author:LUO Yang(School of Mathematics, Sichuan University);LI Hong-Xu(School of Mathematics, Sichuan University)

收稿日期:2019-03-14          年卷(期)页码:2020,57(2):218-224

期刊名称:四川大学学报: 自然科学版

Journal Name:Journal of Sichuan University (Natural Science Edition)

关键字:模糊神经网络; 渐近概周期; 全局指数稳定; 变时滞

Key words:Fuzzy cellular neural network; Asymptotical almost periodicity; Global exponentially stability; Time-varying delay

基金项目:国家自然科学基金(11971329;11561077)

中文摘要

本文给出了一类变时滞模糊神经网络系统解的渐近概周期性和全局指数稳定性结果及该系统渐近概周期解的具体形式.

英文摘要

In this paper, we give some results on both asymptotical almost periodicity and global exponential stability of the solutions of a class of fuzzy cellular neural networks with time-varying delays. The concrete forms of the asymptotical almost solutions of this system are presented.

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