Synchronization of Switched Complex Bipartite Neural Networks with Infinite Distributed Delays and Derivative Coupling

المؤلفون المشاركون

Bian, Qiuxiang
Zhang, Tingfang
Cao, Jinde
Ling, Xiaoxu
Wu, Jie
Yao, Hongxing

المصدر

Abstract and Applied Analysis

العدد

المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-16، 16ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2013-05-30

دولة النشر

مصر

عدد الصفحات

16

التخصصات الرئيسية

الرياضيات

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-493950