Global synchronization in an array of hybrid coupling neural networks with multiple time-delay components

Authors:
Jian Feng;Dawei Gong
Affiliations:
School of Information Science and Engineering, Northeastern University, Shenyang, China;School of Information Science and Engineering, Northeastern University, Shenyang, China
Venue:
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Year:
2010

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Abstract

In this paper, synchronization problem is investigated for a new array of coupled neural networks with multiple time-delay components. The considered system is more general than those basic mathematical model with single delay. Based on a novel Lyapunov-Krasovskii functional and the Kronecker product technique, a delay-dependent criterion is derived to ensure the global synchronization. The criteria is expressed within the framework of linear matrix inequalities, which can be easily computed and checked. Finally, a typical example with chaotic nodes is given to illustrate the effectiveness of the proposed result.