Robust Stochastic Stability Analysis for Uncertain Neutral-Type Delayed Neural Networks Driven by Wiener Process
Joint Authors
Source
Journal of Applied Mathematics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-11-20
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The robust stochastic stability for a class of uncertain neutral-type delayed neural networks driven by Wiener process is investigated.
By utilizing the Lyapunov-Krasovskii functional and inequality technique, some sufficient criteria are presented in terms of linear matrix inequality (LMI) to ensure the stability of the system.
A numerical example is given to illustrate the applicability of the result.
American Psychological Association (APA)
Zhang, Weiwei& Wang, Linshan. 2011. Robust Stochastic Stability Analysis for Uncertain Neutral-Type Delayed Neural Networks Driven by Wiener Process. Journal of Applied Mathematics،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-993739
Modern Language Association (MLA)
Zhang, Weiwei& Wang, Linshan. Robust Stochastic Stability Analysis for Uncertain Neutral-Type Delayed Neural Networks Driven by Wiener Process. Journal of Applied Mathematics No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-993739
American Medical Association (AMA)
Zhang, Weiwei& Wang, Linshan. Robust Stochastic Stability Analysis for Uncertain Neutral-Type Delayed Neural Networks Driven by Wiener Process. Journal of Applied Mathematics. 2011. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-993739
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-993739
