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.
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Jian, F., Dawei, G. (2010). Global Synchronization in an Array of Hybrid Coupling Neural Networks with Multiple Time-Delay Components. In: Huang, DS., Zhao, Z., Bevilacqua, V., Figueroa, J.C. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Lecture Notes in Computer Science, vol 6215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14922-1_6
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DOI: https://doi.org/10.1007/978-3-642-14922-1_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14921-4
Online ISBN: 978-3-642-14922-1
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