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Stability in Switched Cohen-Grossberg Neural Networks with Mixed Time Delays and Non-Lipschitz Activation Functions
Joint Authors
Xu, Guohua
Wu, Chongyang
Wu, Huaiqin
Wang, Kewang
Li, Ning
Guo, Qiangqiang
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-05-23
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Abstract EN
The stability for the switched Cohen-Grossberg neural networks with mixed time delays and α-inverse Hölder activation functions is investigated under the switching rule with the average dwell time property.
By applying multiple Lyapunov-Krasovskii functional approach and linear matrix inequality (LMI) technique, a delay-dependent sufficient criterion is achieved to ensure such switched neural networks to be globally exponentially stable in terms of LMIs, and the exponential decay estimation is explicitly developed for the states too.
Two illustrative examples are given to demonstrate the validity of the theoretical results.
American Psychological Association (APA)
Wu, Huaiqin& Xu, Guohua& Wu, Chongyang& Li, Ning& Wang, Kewang& Guo, Qiangqiang. 2012. Stability in Switched Cohen-Grossberg Neural Networks with Mixed Time Delays and Non-Lipschitz Activation Functions. Discrete Dynamics in Nature and Society،Vol. 2012, no. 2012, pp.1-21.
https://search.emarefa.net/detail/BIM-472023
Modern Language Association (MLA)
Wu, Huaiqin…[et al.]. Stability in Switched Cohen-Grossberg Neural Networks with Mixed Time Delays and Non-Lipschitz Activation Functions. Discrete Dynamics in Nature and Society No. 2012 (2012), pp.1-21.
https://search.emarefa.net/detail/BIM-472023
American Medical Association (AMA)
Wu, Huaiqin& Xu, Guohua& Wu, Chongyang& Li, Ning& Wang, Kewang& Guo, Qiangqiang. Stability in Switched Cohen-Grossberg Neural Networks with Mixed Time Delays and Non-Lipschitz Activation Functions. Discrete Dynamics in Nature and Society. 2012. Vol. 2012, no. 2012, pp.1-21.
https://search.emarefa.net/detail/BIM-472023
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-472023