Existence and Exponential Stability of Periodic Solution for a Class of Generalized Neural Networks with Arbitrary Delays
Joint Authors
Zhang, Yimin
Ye, Kuohui
Li, Yongkun
Source
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-01-28
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
By the continuation theorem of coincidence degree and M-matrix theory, we obtain some sufficient conditions for the existence and exponential stability of periodic solutions for a class of generalized neural networks with arbitrary delays, which are milder and less restrictive than those of previous known criteria.
Moreover our results generalize and improve many existing ones.
American Psychological Association (APA)
Zhang, Yimin& Li, Yongkun& Ye, Kuohui. 2010. Existence and Exponential Stability of Periodic Solution for a Class of Generalized Neural Networks with Arbitrary Delays. Abstract and Applied Analysis،Vol. 2009, no. 2009, pp.1-15.
https://search.emarefa.net/detail/BIM-511356
Modern Language Association (MLA)
Zhang, Yimin…[et al.]. Existence and Exponential Stability of Periodic Solution for a Class of Generalized Neural Networks with Arbitrary Delays. Abstract and Applied Analysis No. 2009 (2009), pp.1-15.
https://search.emarefa.net/detail/BIM-511356
American Medical Association (AMA)
Zhang, Yimin& Li, Yongkun& Ye, Kuohui. Existence and Exponential Stability of Periodic Solution for a Class of Generalized Neural Networks with Arbitrary Delays. Abstract and Applied Analysis. 2010. Vol. 2009, no. 2009, pp.1-15.
https://search.emarefa.net/detail/BIM-511356
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-511356
