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A New Global Asymptotic Stability of Cellular Neural Network with Time-Varying Discrete and Distributed Delays

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Advances in Neural Networks – ISNN 2012 (ISNN 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7367))

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Abstract

This paper is concerned with the global asymptotic stability of cellular neural network with time-varying discrete and distributed delays. A novel criterion for the stability using the Lyapunov stability theory and linear matrix inequality(LMI) framework is presented. The result is less conservative than those established in the earlier references.

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References

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Author information

Authors and Affiliations

  1. Nanchang Institute Of Technology, Nanchang, 330099, P.R. China

    Lin Zhu

Authors
  1. Lin Zhu
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Editor information

Editors and Affiliations

  1. Department of Mechanical & Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong

    Jun Wang

  2. School of Electrical and Computer Engineering, Oklahoma State University, 74078, Stillwater, OK, USA

    Gary G. Yen

  3. Department of Electrical and Computer Engineering, University of Cyprus, 75 Kallipoleos Avenue, 1678, Nicosia, Cyprus

    Marios M. Polycarpou

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© 2012 Springer-Verlag Berlin Heidelberg

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Zhu, L. (2012). A New Global Asymptotic Stability of Cellular Neural Network with Time-Varying Discrete and Distributed Delays. In: Wang, J., Yen, G.G., Polycarpou, M.M. (eds) Advances in Neural Networks – ISNN 2012. ISNN 2012. Lecture Notes in Computer Science, vol 7367. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31346-2_41

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  • DOI: https://doi.org/10.1007/978-3-642-31346-2_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31345-5

  • Online ISBN: 978-3-642-31346-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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