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Delay-Dependent Stability Analysis for Recurrent Neural Networks with Time-Varying Delays
Joint Authors
Tian, Junkang
Lv, Shu
Zhong, Shouming
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-10-15
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
This paper concerns the problem of delay-dependent stability criteria for recurrent neural networks with time varying delays.
By taking more information of states and activation functions as augmented vectors, a new class of the Lyapunov functional is proposed.
Then, some less conservative stability criteria are obtained in terms of linear matrix inequalities (LMIs).
Finally, two numerical examples are given to illustrate the effectiveness of the proposed method.
American Psychological Association (APA)
Lv, Shu& Tian, Junkang& Zhong, Shouming. 2012. Delay-Dependent Stability Analysis for Recurrent Neural Networks with Time-Varying Delays. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-1002227
Modern Language Association (MLA)
Lv, Shu…[et al.]. Delay-Dependent Stability Analysis for Recurrent Neural Networks with Time-Varying Delays. Mathematical Problems in Engineering No. 2012 (2012), pp.1-14.
https://search.emarefa.net/detail/BIM-1002227
American Medical Association (AMA)
Lv, Shu& Tian, Junkang& Zhong, Shouming. Delay-Dependent Stability Analysis for Recurrent Neural Networks with Time-Varying Delays. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-1002227
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1002227