Finite-time stability for a class of fractional-order fuzzy neural networks with proportional delay

被引:52
|
作者
Tyagi, Swati [1 ]
Martha, S. C. [1 ]
机构
[1] Indian Inst Technol Ropar, Dept Math, Rupnagar 140001, Punjab, India
关键词
Fuzzy neural networks; Fractional-order; Finite-time stability; Proportional delay; EQUATIONS; DISCRETE; DYNAMICS;
D O I
10.1016/j.fss.2019.04.010
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this paper, we consider a class of fuzzy neural networks of fractional-order and proportional time delay. We derive sufficient conditions for the finite-time stability of the considered system using finite-time stability theory and fractional calculus and employing differential inequality techniques. The results are obtained in terms of simple algebraic inequalities, which can be easily verified. In the end, we give a numerical example to validate the analytical findings. (C) 2019 Published by Elsevier B.V.
引用
收藏
页码:68 / 77
页数:10
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