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International Symposium on Neural Networks

ISNN 2016: Advances in Neural Networks – ISNN 2016 pp 135–142Cite as

Synchronization of Coupled Neural Networks with Nodes of Different Dimensions

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9719))

Abstract

A class of coupled neural networks with nodes of different coupling time-delays and different state dimensions is investigated in this paper. Based on Lyapunov stability theory, some sufficient conditions for synchronization of coupled neural networks are derived. The coupling configuration matrix is not necessary to be symmetric or irreducible, and the inner coupling matrix need not be symmetric. Finally, numerical examples are presented to demonstrate the effectiveness of the designed method.

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Acknowledgments

The research is supported by grants from the National Natural Science Foundation of China (No.11471083 and No. 61572233), the Natural Science Foundation of Guangdong Province in China (No.9151001003000005), and the Fundamental Research Funds for the Central Universities (No. 21612443).

Author information

Authors and Affiliations

  1. College of Information Science, Jinan University, Guangzhou, 510632, China

    Manchun Tan & Desheng Xu

Authors
  1. Manchun Tan
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  2. Desheng Xu
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Corresponding author

Correspondence to Manchun Tan .

Editor information

Editors and Affiliations

  1. The Chinese Academy of Sciences, Beijing, China

    Long Cheng

  2. Huazhong University of Science and Tech., Wuhan, Jiangsu, China

    Qingshan Liu

  3. Russian Academy of Sciences, SPIIRAS, St. Petersburg, Russia

    Andrey Ronzhin

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© 2016 Springer International Publishing Switzerland

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Tan, M., Xu, D. (2016). Synchronization of Coupled Neural Networks with Nodes of Different Dimensions. In: Cheng, L., Liu, Q., Ronzhin, A. (eds) Advances in Neural Networks – ISNN 2016. ISNN 2016. Lecture Notes in Computer Science(), vol 9719. Springer, Cham. https://doi.org/10.1007/978-3-319-40663-3_16

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  • DOI: https://doi.org/10.1007/978-3-319-40663-3_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40662-6

  • Online ISBN: 978-3-319-40663-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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