On Finite-Time Stability for Fractional-Order Neural Networks with Proportional Delays

被引：0
|
作者：
Changjin Xu
Peiluan Li
机构：
[1] Guizhou University of Finance and Economics,Guizhou Key Laboratory of Economics System Simulation
[2] Henan University of Science and Technology,School of Mathematics and Statistics
来源：
Neural Processing Letters | 2019年 / 50卷
关键词：
Neural networks; Finite-time stability; Proportional delay; Fractional order;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper is concerned with fractional-order neural networks with proportional delays. Applying inequality technique, some sufficient criteria which ensure the stability of such fractional-order neural networks with proportional delays over a finite-time interval are established. Computer simulations are carried out to illustrate our theoretical predictions. The derived results of this paper are new and complement some earlier ones.
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页码：1241 / 1256
页数：15
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