Paper Info
Title
Global stability results of discrete recurrent neural networks with interval delays.
Abstract
This paper establishes improved global exponential stability method for a class of discrete-time recurrent neural networks with interval time-varying delays and norm-bounded time-varying parameter uncertainties. The method is robust and delay range dependent. It is derived based on a new Lyapunov–Krasovskii functional constructed to exhibit the delay-dependent dynamics and to compensate for the en...
Year
DOI
Venue
2012
10.1093/imamci/dnr034
IMA Journal of Mathematical Control and Information
Keywords
DocType
Volume
recurrent neural networks,discrete-time systems,time-varying delays,delay-range-dependent stability,LMIs
Journal
29
Issue
ISSN
Citations 
2
0265-0754
1
PageRank 
References 
Authors
0.36
0
2
Name
Order
Citations
PageRank
Magdi S. Mahmoud179098.50
Fouad M. AL-Sunni2324.23