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Global Exponential Stability for DCNNs with Impulses on Time Scales
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-02
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
A class of delayed cellular neural networks (DCNNs) with impulses on time scales is considered.
By using the topological degree theory, and the time scale calculus theory some sufficient conditions are derived to ensure the existence, uniqueness, and global exponential stability of equilibria for this class of neural networks.
Finally, a numerical example illustrates the feasibility of our results and also shows that the continuous-time neural network and the discrete-time analogue have the same dynamical behaviors.
The results of this paper are completely new and complementary to the previously known results.
American Psychological Association (APA)
Li, Yongkun& Zhi, Yuanhong. 2014. Global Exponential Stability for DCNNs with Impulses on Time Scales. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-509386
Modern Language Association (MLA)
Li, Yongkun& Zhi, Yuanhong. Global Exponential Stability for DCNNs with Impulses on Time Scales. Mathematical Problems in Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-509386
American Medical Association (AMA)
Li, Yongkun& Zhi, Yuanhong. Global Exponential Stability for DCNNs with Impulses on Time Scales. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-509386
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-509386