Synchronization of Switched Complex Bipartite Neural Networks with Infinite Distributed Delays and Derivative Coupling
Joint Authors
Bian, Qiuxiang
Zhang, Tingfang
Cao, Jinde
Ling, Xiaoxu
Wu, Jie
Yao, Hongxing
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-05-30
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
A new model of switched complex bipartite neural network (SCBNN) with infinite distributed delays and derivative coupling is established.
Using linear matrix inequality (LMI) approach, some synchronization criteria are proposed to ensure the synchronization between two SCBNNs by constructing effective controllers.
Some numerical simulations are provided to illustrate the effectiveness of the theoretical results obtained in this paper.
American Psychological Association (APA)
Bian, Qiuxiang& Cao, Jinde& Wu, Jie& Yao, Hongxing& Zhang, Tingfang& Ling, Xiaoxu. 2013. Synchronization of Switched Complex Bipartite Neural Networks with Infinite Distributed Delays and Derivative Coupling. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-16.
https://search.emarefa.net/detail/BIM-493950
Modern Language Association (MLA)
Bian, Qiuxiang…[et al.]. Synchronization of Switched Complex Bipartite Neural Networks with Infinite Distributed Delays and Derivative Coupling. Abstract and Applied Analysis No. 2013 (2013), pp.1-16.
https://search.emarefa.net/detail/BIM-493950
American Medical Association (AMA)
Bian, Qiuxiang& Cao, Jinde& Wu, Jie& Yao, Hongxing& Zhang, Tingfang& Ling, Xiaoxu. Synchronization of Switched Complex Bipartite Neural Networks with Infinite Distributed Delays and Derivative Coupling. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-16.
https://search.emarefa.net/detail/BIM-493950
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-493950
