Title
Passivity analysis for uncertain discrete-time stochastic BAM neural networks with time-varying delays
Abstract
This paper is concerned with the passivity analysis problem for a class of discrete-time stochastic bidirectional associative memory neural networks with time-varying delays. Furthermore, the results are extended to the robust passivity analysis with mixed time delays that consist of both the discrete and distributed time delays, and the uncertainties are assumed to be time-varying norm bounded parameter uncertainties. By constructing a new Lyapunov---Krasovskii functional and introducing some appropriate free-weighting matrices, a delay-dependent passivity criterion is derived in terms of LMIs whose feasibility can be easily checked by some available software packages. Finally, two numerical examples with simulation results are given to demonstrate the effectiveness and usefulness of the proposed results.
Year
DOI
Venue
2014
10.1007/s00521-014-1545-9
Neural Computing and Applications
Keywords
DocType
Volume
discrete-time stochastic bam neural networks,linear matrix inequality,lyapunov technique,passivity analysis
Journal
25
Issue
ISSN
Citations 
3-4
1433-3058
14
PageRank 
References 
Authors
0.55
13
4
Name
Order
Citations
PageRank
R. Raja118012.58
U. Karthik Raja2422.01
R. Samidurai3362.25
A. Leelamani4483.75