New criteria on the finite-time stability of fractional-order BAM neural networks with time delay

Author(s):  
Xuemei Li ◽  
Xinge Liu ◽  
Shuailei Zhang
2020 ◽  
Vol 365 ◽  
pp. 124715 ◽  
Author(s):  
Taotao Hu ◽  
Zheng He ◽  
Xiaojun Zhang ◽  
Shouming Zhong

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Yuping Cao ◽  
Chuanzhi Bai

Based on the theory of fractional calculus, the generalized Gronwall inequality and estimates of mittag-Leffer functions, the finite-time stability of Caputo fractional-order BAM neural networks with distributed delay is investigated in this paper. An illustrative example is also given to demonstrate the effectiveness of the obtained result.


2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Lassaad Mchiri ◽  
Abdellatif Ben Makhlouf ◽  
Dumitru Baleanu ◽  
Mohamed Rhaima

AbstractThis paper focuses on the finite-time stability of linear stochastic fractional-order systems with time delay for $\alpha \in (\frac{1}{2},1)$ α ∈ ( 1 2 , 1 ) . Under the generalized Gronwall inequality and stochastic analysis techniques, the finite-time stability of the solution for linear stochastic fractional-order systems with time delay is investigated. We give two illustrative examples to show the interest of the main results.


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