New Methods of Finite-Time Synchronization for a Class of Fractional-Order Delayed Neural Networks
Joint Authors
Cao, Jinde
Alsaadi, Fuad E.
Zhang, Weiwei
Alsaedi, Ahmed
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-06-06
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Finite-time synchronization for a class of fractional-order delayed neural networks with fractional order α, 0<α≤1/2 and 1/2<α<1, is investigated in this paper.
Through the use of Hölder inequality, generalized Bernoulli inequality, and inequality skills, two sufficient conditions are considered to ensure synchronization of fractional-order delayed neural networks in a finite-time interval.
Numerical example is given to verify the feasibility of the theoretical results.
American Psychological Association (APA)
Zhang, Weiwei& Cao, Jinde& Alsaedi, Ahmed& Alsaadi, Fuad E.. 2017. New Methods of Finite-Time Synchronization for a Class of Fractional-Order Delayed Neural Networks. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1189660
Modern Language Association (MLA)
Zhang, Weiwei…[et al.]. New Methods of Finite-Time Synchronization for a Class of Fractional-Order Delayed Neural Networks. Mathematical Problems in Engineering No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1189660
American Medical Association (AMA)
Zhang, Weiwei& Cao, Jinde& Alsaedi, Ahmed& Alsaadi, Fuad E.. New Methods of Finite-Time Synchronization for a Class of Fractional-Order Delayed Neural Networks. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1189660
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1189660
