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Adaptive Pinning Synchronization of Coupled Inertial Delayed Neural Networks

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Advances in Neural Networks – ISNN 2014 (ISNN 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8866))

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Abstract

In this paper, adaptive pinning synchronization (i.e., leader-following synchronization) is considered for an array of linearly coupled inertial delayed neural network. By applying feedback control on a small fraction of network nodes with the dynamical feedback gains turning adaptively and combining the Lyapunov function method, an easy-to-verify sufficient condition is derived for globally asymptotically synchronization for the coupled network. Meanwhile, the coupling configuration matrix is not necessary to be symmetric or irreducible. Finally, an illustrative example is given to show the effectiveness of the obtained theoretical results.

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Author information

Authors and Affiliations

  1. School of Automation, Southeast University, Nanjing, 210096, China

    Jianqiang Hu

  2. Department of Mathematics, Research Center for Complex Systems and Network Sciences, Southeast University, Nanjing, 210096, China

    Jinde Cao & Quanxin Cheng

Authors
  1. Jianqiang Hu
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  2. Jinde Cao
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  3. Quanxin Cheng
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Corresponding author

Correspondence to Jianqiang Hu .

Editor information

Editors and Affiliations

  1. Wuhan, China

    Zhigang Zeng

  2. University of Macau, Macau, Macao

    Yangmin Li

  3. The Chinese University of Hong Kong, Hong Kong, Hong Kong, Hong Kong SAR

    Irwin King

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© 2014 Springer International Publishing Switzerland

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Hu, J., Cao, J., Cheng, Q. (2014). Adaptive Pinning Synchronization of Coupled Inertial Delayed Neural Networks. In: Zeng, Z., Li, Y., King, I. (eds) Advances in Neural Networks – ISNN 2014. ISNN 2014. Lecture Notes in Computer Science(), vol 8866. Springer, Cham. https://doi.org/10.1007/978-3-319-12436-0_5

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  • DOI: https://doi.org/10.1007/978-3-319-12436-0_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12435-3

  • Online ISBN: 978-3-319-12436-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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