Synchronization of fractional‐order delayed neural networks with hybrid coupling. (21st August 2015)
- Record Type:
- Journal Article
- Title:
- Synchronization of fractional‐order delayed neural networks with hybrid coupling. (21st August 2015)
- Main Title:
- Synchronization of fractional‐order delayed neural networks with hybrid coupling
- Authors:
- Bao, Haibo
Park, Ju H.
Cao, Jinde - Abstract:
- Abstract : This article presents new theoretical results on the synchronization for a class of fractional‐order delayed neural networks with hybrid coupling that contains constant coupling and discrete‐delay coupling. This is the first attempt to investigate the synchronization problem of fractional‐order coupled delayed neural networks. Based on the fractional‐order Lyapunov stability theorem and Kronecker product properties, sufficient criteria are established to ensure the fractional‐order coupled neural network to achieve synchronization. Numerical simulations are given to illustrate the correctness of the theoretical results. © 2015 Wiley Periodicals, Inc. Complexity 21: 106–112, 2016
- Is Part Of:
- Complexity. Volume 21(2016)Supplement 1
- Journal:
- Complexity
- Issue:
- Volume 21(2016)Supplement 1
- Issue Display:
- Volume 21, Issue 1 (2016)
- Year:
- 2016
- Volume:
- 21
- Issue:
- 1
- Issue Sort Value:
- 2016-0021-0001-0000
- Page Start:
- 106
- Page End:
- 112
- Publication Date:
- 2015-08-21
- Subjects:
- fractional‐order -- delayed neural network -- synchronization -- hybrid coupling
Chaotic behavior in systems -- Periodicals
Complexity (Philosophy) -- Periodicals
003 - Journal URLs:
- https://onlinelibrary.wiley.com/journal/10990526 ↗
http://onlinelibrary.wiley.com/ ↗
https://www.hindawi.com/journals/complexity/ ↗ - DOI:
- 10.1002/cplx.21715 ↗
- Languages:
- English
- ISSNs:
- 1076-2787
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3364.585500
British Library HMNTS - ELD Digital store - Ingest File:
- 2676.xml