Open Access
2013 Synchronization of Switched Complex Bipartite Neural Networks with Infinite Distributed Delays and Derivative Coupling
Qiuxiang Bian, Jinde Cao, Jie Wu, Hongxing Yao, Tingfang Zhang, Xiaoxu Ling
Abstr. Appl. Anal. 2013(SI40): 1-16 (2013). DOI: 10.1155/2013/728606

Abstract

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.

Citation

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Qiuxiang Bian. Jinde Cao. Jie Wu. Hongxing Yao. Tingfang Zhang. Xiaoxu Ling. "Synchronization of Switched Complex Bipartite Neural Networks with Infinite Distributed Delays and Derivative Coupling." Abstr. Appl. Anal. 2013 (SI40) 1 - 16, 2013. https://doi.org/10.1155/2013/728606

Information

Published: 2013
First available in Project Euclid: 26 February 2014

zbMATH: 07095290
MathSciNet: MR3064403
Digital Object Identifier: 10.1155/2013/728606

Rights: Copyright © 2013 Hindawi

Vol.2013 • No. SI40 • 2013
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