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一类变时滞模糊细胞神经网络的全局指数周期性

Global exponential periodicity of a class of fuzzy cellular neural networks with time-varying delays
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摘要 通过构造合适的Lyapunov泛函和利用Young不等式,研究了一类变时滞模糊细胞神经网络的全局指数周期性,得到了该神经网络周期解存在唯一且全局指数周期的充分条件,给出一个例子说明结论的有效性. Global exponential periodicity of fuzzy cellular neural networks with time-varying delays is investigated. By constructing suitable Lyapunov functional and employing Yong inequality, a sufficient condition ensuring global exponential periodicity and global exponential stability is obtained. And an example is given to illustrate the effectiveness of the results.
作者 翁良燕 周立群
机构地区 天津师范大学数学科学学院
出处 《天津师范大学学报（自然科学版）》 CAS 2014年第2期5-8,共4页 Journal of Tianjin Normal University：Natural Science Edition
基金 国家自然科学基金资助项目(60974144) 天津师范大学博士基金资助项目(52LX34) 天津高等学校科技发展基金资助项目(20100813)
关键词 模糊细胞神经网络 变时滞 全局指数周期性 周期解 YOUNG不等式 fuzzy cellular neural networks time-varying delays global exponential periodicity periodic solution Younginequality
分类号 O175 [理学—基础数学]
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天津师范大学学报（自然科学版）
2014年 第2期

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