4.6 Article

Stability analysis of fractional order fuzzy cellular neural networks with leakage delay and time varying delays

期刊

CHINESE JOURNAL OF PHYSICS
卷 73, 期 -, 页码 589-599

出版社

ELSEVIER
DOI: 10.1016/j.cjph.2021.07.029

关键词

Fractional order; Mittag-Leffler stability; Fuzzy cellular neural networks; Time varying delays

向作者/读者索取更多资源

In this paper, the stability of fractional order fuzzy cellular neural networks with leakage delay and time varying delays was investigated. Sufficient criteria were established to guarantee stability based on Lyapunov theory and bounded techniques of fractional calculation. Hybrid feedback control was applied to derive the proposed results, and numerical examples with simulation results were used to illustrate the effectiveness of the method.
In this paper we investigated the stability of fractional order fuzzy cellular neural networks with leakage delay and time varying delays. Based on Lyapunov theory and applying bounded techniques of fractional calculation, sufficient criterion are established to guarantee the stability. Hybrid feedback control is applied to derive the proposed results. Finally, numerical examples with simulation results are given to illustrate the effectiveness of the proposed method.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据