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Global Exponential Stability of a Unique Almost Periodic Solution for Neutral-Type Cohen-Grossberg Neural Networks with Time Delays
Joint Authors
Wu, Wenquan
Zhang, Tianwei
Liao, Yongzhi
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-02
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This paper is concerned with the problem of the existence, uniqueness, and global exponential stability of almost periodic solution for neutral-type Cohen-Grossberg neural networks with time delays.
Based on fixed point theory and Lyapunov functional, several sufficientconditions are established for the existence, uniqueness, and global exponential stability of almost periodic solution for the above system.
Finally, an example and numerical simulations are given to illustrate the feasibility and effectiveness of our main results.
American Psychological Association (APA)
Liao, Yongzhi& Wu, Wenquan& Zhang, Tianwei. 2013. Global Exponential Stability of a Unique Almost Periodic Solution for Neutral-Type Cohen-Grossberg Neural Networks with Time Delays. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1031988
Modern Language Association (MLA)
Liao, Yongzhi…[et al.]. Global Exponential Stability of a Unique Almost Periodic Solution for Neutral-Type Cohen-Grossberg Neural Networks with Time Delays. Mathematical Problems in Engineering No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1031988
American Medical Association (AMA)
Liao, Yongzhi& Wu, Wenquan& Zhang, Tianwei. Global Exponential Stability of a Unique Almost Periodic Solution for Neutral-Type Cohen-Grossberg Neural Networks with Time Delays. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1031988
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031988