Finite-time synchronization of inertial neural networks
Joint Authors
Hu, Cheng
Na Cui, Haijun Jiang
Abd al-Rahman, Abd al-Jalil
Source
Arab Journal of Basic and Applied Sciences
Issue
Vol. 24, Issue 0 (31 Oct. 2017), pp.300-309, 10 p.
Publisher
University of Bahrain College of Science
Publication Date
2017-10-31
Country of Publication
Bahrain
No. of Pages
10
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Abstract EN
In this paper, the finite-time synchronization of inertial neural networks is investigated.
First, to realize synchronization of the master–slave system, continuous and discontinuous controllers are designed, respectively.
By constructing Lyapunov function and using inequalities, some effective criteria are provided to realize synchronization in finite time.
Furthermore, in order to achieve synchronization with a fast speed, a new switching controller is presented, and the upper bounds of the settling time of synchronization are estimated.
Finally, several numerical simulations are presented to demonstrate the validity of the theoretical results and the effectiveness of the proposed method.
American Psychological Association (APA)
Na Cui, Haijun Jiang& Hu, Cheng& Abd al-Rahman, Abd al-Jalil. 2017. Finite-time synchronization of inertial neural networks. Arab Journal of Basic and Applied Sciences،Vol. 24, no. 0, pp.300-309.
https://search.emarefa.net/detail/BIM-760682
Modern Language Association (MLA)
Hu, Cheng…[et al.]. Finite-time synchronization of inertial neural networks. Arab Journal of Basic and Applied Sciences Vol. 24 (Oct. 2017), pp.300-309.
https://search.emarefa.net/detail/BIM-760682
American Medical Association (AMA)
Na Cui, Haijun Jiang& Hu, Cheng& Abd al-Rahman, Abd al-Jalil. Finite-time synchronization of inertial neural networks. Arab Journal of Basic and Applied Sciences. 2017. Vol. 24, no. 0, pp.300-309.
https://search.emarefa.net/detail/BIM-760682
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 308-309
Record ID
BIM-760682