Finite-Time Synchronization for Stochastic Fractional-Order Memristive BAM Neural Networks with Multiple Delays

被引：2
|
作者：
Chen, Lili [1 ]
Gong, Minghao [1 ]
Zhao, Yanfeng [1 ]
Liu, Xin [1 ]
机构：
[1] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao 266590, Peoples R China
来源：
FRACTAL AND FRACTIONAL | 2023年 / 7卷 / 09期
关键词：
stochastic; fractional order; memristive BAM neural networks; finite-time synchronization; quadratic Gronwall inequality; EXPONENTIAL STABILITY; EQUATIONS;
D O I：
10.3390/fractalfract7090678
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
This paper studies the finite-time synchronization problem of fractional-order stochastic memristive bidirectional associative memory neural networks (MBAMNNs) with discontinuous jumps. A novel criterion for finite-time synchronization is obtained by utilizing the properties of quadratic fractional-order Gronwall inequality with time delay and the comparison principle. This criterion provides a new approach to analyze the finite-time synchronization problem of neural networks with stochasticity. Finally, numerical simulations are provided to demonstrate the effectiveness and superiority of the obtained results.
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收藏
页数：20
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