New approach to finite-time stability for fractional-order BAM neural networks with discrete and distributed delays

2021 ◽  
Vol 151 ◽  
pp. 111225
Author(s):  
Feifei Du ◽  
Jun-Guo Lu
Keyword(s):  
Neural Networks ◽  
Fractional Order ◽  
Finite Time ◽  
Distributed Delays ◽  
Bam Neural Networks ◽  
Time Stability ◽  
New Approach ◽  
Finite Time Stability

scholarly journals Finite-Time Stability of Fractional-Order BAM Neural Networks with Distributed Delay

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Yuping Cao ◽  
Chuanzhi Bai
Keyword(s):  
Neural Networks ◽  
Fractional Calculus ◽  
Fractional Order ◽  
Finite Time ◽  
Distributed Delay ◽  
Bam Neural Networks ◽  
Time Stability ◽  
Finite Time Stability ◽  
Generalized Gronwall Inequality ◽  
Grönwall Inequality

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.

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