Almost Periodic Synchronization for Quaternion-Valued Neural Networks with Time-Varying Delays
Joint Authors
Meng, Xiaofang
Ye, Yuan
Li, Yongkun
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-29
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This paper focuses on the global exponential almost periodic synchronization of quaternion-valued neural networks with time-varying delays.
By virtue of the exponential dichotomy of linear differential equations, Banach’s fixed point theorem, Lyapunov functional method, and differential inequality technique, some sufficient conditions are established for assuring the existence and global exponential synchronization of almost periodic solutions of the delayed quaternion-valued neural networks, which are completely new.
Finally, we give one example with simulation to show the applicability and effectiveness of our main results.
American Psychological Association (APA)
Li, Yongkun& Meng, Xiaofang& Ye, Yuan. 2018. Almost Periodic Synchronization for Quaternion-Valued Neural Networks with Time-Varying Delays. Complexity،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1135423
Modern Language Association (MLA)
Li, Yongkun…[et al.]. Almost Periodic Synchronization for Quaternion-Valued Neural Networks with Time-Varying Delays. Complexity No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1135423
American Medical Association (AMA)
Li, Yongkun& Meng, Xiaofang& Ye, Yuan. Almost Periodic Synchronization for Quaternion-Valued Neural Networks with Time-Varying Delays. Complexity. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1135423
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1135423