Antiperiodic Solutions for Quaternion-Valued Shunting Inhibitory Cellular Neural Networks with Distributed Delays and Impulses
Joint Authors
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-15
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This paper is concerned with quaternion-valued shunting inhibitory cellular neural networks (QVSICNNs) with distributed delays and impulses.
By using a new continuation theorem of the coincidence degree theory, the existence of antiperiodic solutions for QVSICNNs is obtained.
By constructing a suitable Lyapunov function, some sufficient conditions are derived to guarantee the global exponential stability of antiperiodic solutions for QVSICNNs.
Finally, an example is given to show the feasibility of obtained results.
American Psychological Association (APA)
Huo, Nina& Li, Yongkun. 2018. Antiperiodic Solutions for Quaternion-Valued Shunting Inhibitory Cellular Neural Networks with Distributed Delays and Impulses. Complexity،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1135060
Modern Language Association (MLA)
Huo, Nina& Li, Yongkun. Antiperiodic Solutions for Quaternion-Valued Shunting Inhibitory Cellular Neural Networks with Distributed Delays and Impulses. Complexity No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1135060
American Medical Association (AMA)
Huo, Nina& Li, Yongkun. Antiperiodic Solutions for Quaternion-Valued Shunting Inhibitory Cellular Neural Networks with Distributed Delays and Impulses. Complexity. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1135060
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1135060
