Paper Info
Title
Exponential Stability of Discrete-Time Neural Networks With Large Delay.
Abstract
We study the exponential stability of discrete-time neural networks (NNs) with a time-varying delay which contains a few intermittent large delays (LDs). By modeling the considered discrete-time NN as a discrete-time switched NN which contains two subsystems and one of them may be unstable over the LD periods (LDPs), switching techniques are employed to analyze the problem. Delay-dependent exponen...
Year
DOI
Venue
2021
10.1109/TCYB.2019.2923244
IEEE Transactions on Cybernetics
Keywords
DocType
Volume
Stability criteria,Artificial neural networks,Delays,Switches,Asymptotic stability,Control theory
Journal
51
Issue
ISSN
Citations 
5
2168-2267
0
PageRank 
References 
Authors
0.34
34
5
Name
Order
Citations
PageRank
Bin Yang18233.30
Mengnan Hao271.75
Min Han376168.01
Xudong Zhao41267.30
Guangdeng Zong576753.03