Multisynchronization for Coupled Multistable Fractional-Order Neural Networks via Impulsive Control
Author
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-07
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
We show that every subnetwork of a class of coupled fractional-order neural networks consisting of N identical subnetworks can have r+1n locally Mittag-Leffler stable equilibria.
In addition, we give some algebraic criteria for ascertaining the static multisynchronization of coupled fractional-order neural networks with fixed and switching topologies, respectively.
The obtained theoretical results characterize multisynchronization feature for multistable control systems.
Two numerical examples are given to verify the superiority of the proposed results.
American Psychological Association (APA)
Jin-E, Zhang. 2017. Multisynchronization for Coupled Multistable Fractional-Order Neural Networks via Impulsive Control. Complexity،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1143683
Modern Language Association (MLA)
Jin-E, Zhang. Multisynchronization for Coupled Multistable Fractional-Order Neural Networks via Impulsive Control. Complexity No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1143683
American Medical Association (AMA)
Jin-E, Zhang. Multisynchronization for Coupled Multistable Fractional-Order Neural Networks via Impulsive Control. Complexity. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1143683
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143683