Paper Info
Title
Global stability analysis of fractional-order fuzzy BAM neural networks with time delay and impulsive effects
Abstract
•Stability of fractional-order fuzzy BAM neural networks with impulsive effect is studied.•Suitable Lyapunov functional is constructed.•Sufficient condition for stability of fractional-order fuzzy BAM neural networks are derived.•Existence and uniqueness of solutions is also proved by using contraction mapping principle.•Various useful lemma’s and fractional-order theory are applied to derive the main results.•The proposed method is analyzed by a numerical example.
Year
DOI
Venue
2019
10.1016/j.cnsns.2019.104853
Communications in Nonlinear Science and Numerical Simulation
Keywords
DocType
Volume
Fractional-order,Fuzzy BAM neural networks,Global stability,Time delay,Impulsive effects,Riemann–Liouville
Journal
78
ISSN
Citations 
PageRank 
1007-5704
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
M. Syed Ali151839.49
G. Narayanan232.41
Selcuk Sevgen382.83
Vineet Shekher421.71
Sabri Arik572546.71