Improved Quasiuniform Stability for Fractional Order Neural Nets with Mixed Delay
Joint Authors
Naifar, Omar
Jmal, Assaad
Nagy, A. M.
Ben Makhlouf, Abdellatif
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-29
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
In the present paper, a quasiuniform stability result for fractional order neural networks with mixed delay is developed, based on the generalized Gronwall inequality and the Caputo fractional derivative.
Sufficient conditions are derived to ensure the quasiuniform stability of the considered neural nets system.
A clarification example is carried out not only to validate the authors’ theoretical results but also to show the superiority of the developed work (in terms of improved stability), compared with other similar works already published in the literature.
American Psychological Association (APA)
Naifar, Omar& Jmal, Assaad& Nagy, A. M.& Ben Makhlouf, Abdellatif. 2020. Improved Quasiuniform Stability for Fractional Order Neural Nets with Mixed Delay. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1201569
Modern Language Association (MLA)
Naifar, Omar…[et al.]. Improved Quasiuniform Stability for Fractional Order Neural Nets with Mixed Delay. Mathematical Problems in Engineering No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1201569
American Medical Association (AMA)
Naifar, Omar& Jmal, Assaad& Nagy, A. M.& Ben Makhlouf, Abdellatif. Improved Quasiuniform Stability for Fractional Order Neural Nets with Mixed Delay. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1201569
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1201569