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Neural Computing and Applications

Erschienen in:

01.02.2013 | ISNN 2011

New global synchronization analysis for complex networks with coupling delay based on a useful inequality

verfasst von: Dawei Gong, Huaguang Zhang, Zhanshan Wang, Bonan Huang

Erschienen in: Neural Computing and Applications | Ausgabe 2/2013

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Abstract

This paper is concerned with the problem of global synchronization for a general complex networks. Based on a useful inequality and Kronecker product technique, a new criterion is obtained, which has fewer unknown variables and is a significant improvement in the performance. Synchronization criteria are derived by some new mathematical skills and Schur complement. The result is expressed by linear matrix inequalities, which can be easily computed and checked in practice. Finally, numerical examples will be used to show the effectiveness of the obtained result.

Vorheriger Artikel The neural paradigm for complex systems: new algorithms and applications

Nächster Artikel Global stability analysis of multitime-scale neural networks

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Titel: New global synchronization analysis for complex networks with coupling delay based on a useful inequality
verfasst von: Dawei Gong
Huaguang Zhang
Zhanshan Wang
Bonan Huang
Publikationsdatum: 01.02.2013
Verlag: Springer-Verlag
Erschienen in: Neural Computing and Applications / Ausgabe 2/2013
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-011-0683-6

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