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Almost Periodic Solutions for Shunting Inhibitory Cellular Neural Networks with Time-Varying and Distributed Delays

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Computational Intelligence and Intelligent Systems (ISICA 2009)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 51))

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Abstract

This paper discusses shunting inhibitory cellular neural networks (SICNNs) with time-varying and distributed delays. It introduces the establishment of some new suffcient conditions for the existence and exponential stability of the almost periodic solutions without assuming the global Lipschitz conditions of activation functions. Finally, it presents a numerical example to demonstrate the effectiveness of the obtained result.

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References

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Author information

Authors and Affiliations

  1. Department of Mathematics, Hubei Normal University, Huangshi, 435002, China

    Chaojin Fu & Ailong Wu

Authors
  1. Chaojin Fu
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  2. Ailong Wu
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Editor information

Editors and Affiliations

  1. School of Computer Science, China University of Geosciences, 430074, Wu-Han, China

    Zhihua Cai

  2. State Key Laboratory of Novel Software Technology,, Nanjing University, P.O. Box, China

    Zhenhua Li

  3. Computation Center, Wuhan University, Wuhan, China

    Zhuo Kang

  4. School of Computer Science and Engineering, The University of Aizu, Japan

    Yong Liu

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© 2009 Springer-Verlag Berlin Heidelberg

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Fu, C., Wu, A. (2009). Almost Periodic Solutions for Shunting Inhibitory Cellular Neural Networks with Time-Varying and Distributed Delays. In: Cai, Z., Li, Z., Kang, Z., Liu, Y. (eds) Computational Intelligence and Intelligent Systems. ISICA 2009. Communications in Computer and Information Science, vol 51. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04962-0_19

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  • DOI: https://doi.org/10.1007/978-3-642-04962-0_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04961-3

  • Online ISBN: 978-3-642-04962-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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