Stochastic Passivity of Uncertain Neural Networks with Time-Varying Delays
Joint Authors
Zhou, Jianting
Song, Qiankun
Yang, Jianxi
Source
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-01-04
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
The passivity problem is investigated for a class of stochastic uncertain neural networks with time-varying delay as well as generalized activation functions.
By constructing appropriate Lyapunov-Krasovskii functionals, and employing Newton-Leibniz formulation, the free-weighting matrix method, and stochastic analysis technique, a delay-dependent criterion for checking the passivity of the addressed neural networks is established in terms of linear matrix inequalities (LMIs), which can be checked numerically using the effective LMI toolbox in MATLAB.
An example with simulation is given to show the effectiveness and less conservatism of the proposed criterion.
It is noteworthy that the traditional assumptions on the differentiability of the time-varying delays and the boundedness of its derivative are removed.
American Psychological Association (APA)
Zhou, Jianting& Song, Qiankun& Yang, Jianxi. 2010. Stochastic Passivity of Uncertain Neural Networks with Time-Varying Delays. Abstract and Applied Analysis،Vol. 2009, no. 2009, pp.1-16.
https://search.emarefa.net/detail/BIM-493696
Modern Language Association (MLA)
Zhou, Jianting…[et al.]. Stochastic Passivity of Uncertain Neural Networks with Time-Varying Delays. Abstract and Applied Analysis No. 2009 (2009), pp.1-16.
https://search.emarefa.net/detail/BIM-493696
American Medical Association (AMA)
Zhou, Jianting& Song, Qiankun& Yang, Jianxi. Stochastic Passivity of Uncertain Neural Networks with Time-Varying Delays. Abstract and Applied Analysis. 2010. Vol. 2009, no. 2009, pp.1-16.
https://search.emarefa.net/detail/BIM-493696
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-493696