Global μ-Stability Analysis for Impulsive Stochastic Neural Networks with Unbounded Mixed Delays
Joint Authors
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-28
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
We investigate the global μ-stability in the mean square of impulsive stochastic neural networks with unbounded time-varying delays and continuous distributed delays.
By choosing an appropriate Lyapunov-Krasovskii functional, a novel robust stability condition, in the form of linear matrix inequalities, is derived.
These sufficient conditions can be tested by MATLAB LMI software packages.
The results extend and improve the earlier publication.
Two numerical examples are provided to illustrate the effectiveness of the obtained theoretical results.
American Psychological Association (APA)
Yin, Lizi& Wang, Xinchun. 2013. Global μ-Stability Analysis for Impulsive Stochastic Neural Networks with Unbounded Mixed Delays. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-495390
Modern Language Association (MLA)
Yin, Lizi& Wang, Xinchun. Global μ-Stability Analysis for Impulsive Stochastic Neural Networks with Unbounded Mixed Delays. Abstract and Applied Analysis No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-495390
American Medical Association (AMA)
Yin, Lizi& Wang, Xinchun. Global μ-Stability Analysis for Impulsive Stochastic Neural Networks with Unbounded Mixed Delays. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-495390
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-495390
