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Global Exponential Stability of Hopfield Neural Networks with Impulsive Effects

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Advances in Neural Networks – ISNN 2005 (ISNN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3496))

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Abstract

A class of Hopfield neural network model involving variable delays and impulsive effects is considered. By applying idea of piecewise continuous vector Lyapunov function, the sufficient conditions ensuring the global exponential stability of impulsive delay neural networks are obtained. The results extend and improve some recent work.

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Author information

Authors and Affiliations

  1. College of Mathematics, Sichuan University, Chengdu, 610064, China

    Zhichun Yang, Daoyi Xu, Yumei Huang & Li Xiang

  2. Basic Department, Chengdu Textile Institute, Chengdu, 610023, China

    Zhichun Yang

  3. Department of Math., Chongqing Education College, Chongqing, 400067, China

    Jinan Pei

Authors
  1. Zhichun Yang
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  2. Jinan Pei
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  3. Daoyi Xu
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  4. Yumei Huang
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  5. Li Xiang
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Editor information

Editors and Affiliations

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

    Jun Wang

  2. The Key Laboratory of Optoelectric Technology & Systems, Ministry of Education, China

    Xiaofeng Liao

  3. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

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© 2005 Springer-Verlag Berlin Heidelberg

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Yang, Z., Pei, J., Xu, D., Huang, Y., Xiang, L. (2005). Global Exponential Stability of Hopfield Neural Networks with Impulsive Effects. In: Wang, J., Liao, X., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427391_28

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  • DOI: https://doi.org/10.1007/11427391_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25912-1

  • Online ISBN: 978-3-540-32065-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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