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Global Synchronization in an Array of Hybrid Coupling Neural Networks with Multiple Time-Delay Components

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Advanced Intelligent Computing Theories and Applications (ICIC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6215))

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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.

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Author information

Authors and Affiliations

  1. School of Information Science and Engineering, Northeastern University, Shenyang, 110004, China

    Feng Jian & Gong Dawei

Authors
  1. Feng Jian
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  2. Gong Dawei
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Editor information

Editors and Affiliations

  1. Intelligent Computing Laboratory, Chinese Academy of Sciences, P.O. Box 1130, 230031, Hefei, Anhui, China

    De-Shuang Huang

  2. Department of Biomedical Informatics, Vanderbilt University Medical Center, 2,525 West End Avenue, Suite 600, 37203, Nashville, TN, USA

    Zhongming Zhao

  3. Electrical and Electronics Department, Polytechnic of Bari, Via Orabona 4, 70125, Bari, Italy

    Vitoantonio Bevilacqua

  4. Faculty of Engineering, District University Francisco José de Caldas, Cra. 7a,No. 40-53, Fifth Floor, Bogotá, Colombia

    Juan Carlos Figueroa

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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

  • eBook Packages: Computer ScienceComputer Science (R0)

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