A New Globally Exponential Stability Criterion for Neural Networks with Discrete and Distributed Delays
Joint Authors
Chen, Hao
Yang, Jinxiang
Zhong, Shouming
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-01-22
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This paper concerns the problem of the globally exponential stability of neural networks with discrete and distributed delays.
A novel criterion for the globally exponential stability of neural networks is derived by employing the Lyapunov stability theory, homomorphic mapping theory, and matrix theory.
The proposed result improves the previously reported global stability results.
Finally, two illustrative numerical examples are given to show the effectiveness of our results.
American Psychological Association (APA)
Chen, Hao& Zhong, Shouming& Yang, Jinxiang. 2015. A New Globally Exponential Stability Criterion for Neural Networks with Discrete and Distributed Delays. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1074768
Modern Language Association (MLA)
Chen, Hao…[et al.]. A New Globally Exponential Stability Criterion for Neural Networks with Discrete and Distributed Delays. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1074768
American Medical Association (AMA)
Chen, Hao& Zhong, Shouming& Yang, Jinxiang. A New Globally Exponential Stability Criterion for Neural Networks with Discrete and Distributed Delays. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1074768
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074768
