Exponential Stability for Discrete-Time Stochastic BAM Neural Networks with Discrete and Distributed Delays
Joint Authors
Raja, Ramachandran
Sakthivel, R.
Marshal Anthoni, S.
Source
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-23, 23 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-01-16
Country of Publication
Egypt
No. of Pages
23
Main Subjects
Abstract EN
This paper deals with the stability analysis problem for a class of discrete-time stochastic BAM neural networks with discrete and distributed time-varying delays.
By constructing a suitable Lyapunov-Krasovskii functional and employing M-matrix theory, we find some sufficient conditions ensuring the global exponential stability of the equilibrium point for stochastic BAM neural networks with time-varying delays.
The conditions obtained here are expressed in terms of LMIs whose feasibility can be easily checked by MATLAB LMI Control toolbox.
A numerical example is presented to show the effectiveness of the derived LMI-based stability conditions.
American Psychological Association (APA)
Raja, Ramachandran& Sakthivel, R.& Marshal Anthoni, S.. 2012. Exponential Stability for Discrete-Time Stochastic BAM Neural Networks with Discrete and Distributed Delays. ISRN Discrete Mathematics،Vol. 2011, no. 2011, pp.1-23.
https://search.emarefa.net/detail/BIM-450051
Modern Language Association (MLA)
Raja, Ramachandran…[et al.]. Exponential Stability for Discrete-Time Stochastic BAM Neural Networks with Discrete and Distributed Delays. ISRN Discrete Mathematics No. 2011 (2011), pp.1-23.
https://search.emarefa.net/detail/BIM-450051
American Medical Association (AMA)
Raja, Ramachandran& Sakthivel, R.& Marshal Anthoni, S.. Exponential Stability for Discrete-Time Stochastic BAM Neural Networks with Discrete and Distributed Delays. ISRN Discrete Mathematics. 2012. Vol. 2011, no. 2011, pp.1-23.
https://search.emarefa.net/detail/BIM-450051
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-450051
