Paper Info
Title
Global Mittag-Leffler stability analysis of impulsive fractional-order complex-valued BAM neural networks with time varying delays
Abstract
•Mittag-Leffler stability of impulsive fractionalorder complex-valued BAM neural networks with time varying delays is studied.•We employed fractional Barbalat lemma and constructed complex valued Lyapunov functional.•New conditions for the existence and global asymptotic stability of the addressed impulsive FCVBAMNNs are derived.•Asymptotic stability of the equilibrium point of complex-valued systems is derived by separating nonlinear complex-valued activation functions into real and imaginary parts.•Finally, a numerical examples were illustrated to specific the effectiveness.
Year
DOI
Venue
2020
10.1016/j.cnsns.2019.105088
Communications in Nonlinear Science and Numerical Simulation
Keywords
DocType
Volume
Fractional-order,Complex-valued BAM neural networks (CVBAMNNs),Mittag-Leffler stability,Impulsive,Time-varying delays
Journal
83
ISSN
Citations 
PageRank 
1007-5704
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
M. Syed Ali151839.49
G. Narayanan232.41
Vineet Shekher321.71
A. Alsaedi474963.55
Bashir Ahmad535655.67