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Asymptotic Stability of Nonautonomous Delayed Neural Networks

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Neural Information Processing (ICONIP 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3316))

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Abstract

A delay differential inequality is established in this paper. Based on this inequality, global asymptotic stability of nonautonomous delayed neural networks is analyzed. A new sufficient condition ensuring the global asymptotic stability for this kind of neural networks is presented. This condition is easy to be checked.

The project supported by the National Natural Science Foundation of China and China Postdoctoral Science Foundation

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Author information

Authors and Affiliations

  1. Center for Advanced Design Technology, Dalian University, Dalian, 116622, China

    Qiang Zhang, Xiaopeng Wei & Jin Xu

  2. School of Mechanical Engineering, Dalian University of Technology, Dalian, 116024, China

    Qiang Zhang & Dongsheng Zhou

Authors
  1. Qiang Zhang
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  2. Xiaopeng Wei
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  3. Jin Xu
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  4. Dongsheng Zhou
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Editor information

Editors and Affiliations

  1. Indian Statistical Institute, Electronics and Communication Sciences Unit, Kolkata, India

    Nikhil Ranjan Pal

  2. School of Computer and Information Sciences, Knowledge Engineering and Discovery Research Institute (KEDRI), Auckland University of Technology, Private Bag 92006, Auckland, New Zealand

    Nik Kasabov

  3. Department of Instrumentation and Electronics Engineering, Jadavpur University, Salt-lake Campus, 700098, Calcutta, India

    Rajani K. Mudi

  4. Indian Statistical Institute, 203 B. T. Road, 700 108, Calcutta,  

    Srimanta Pal

  5. Indian Statistical Institute, Computer Vision and Pattern Recognition Unit, 700108, Kolkata, India

    Swapan Kumar Parui

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© 2004 Springer-Verlag Berlin Heidelberg

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Zhang, Q., Wei, X., Xu, J., Zhou, D. (2004). Asymptotic Stability of Nonautonomous Delayed Neural Networks. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds) Neural Information Processing. ICONIP 2004. Lecture Notes in Computer Science, vol 3316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30499-9_37

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  • DOI: https://doi.org/10.1007/978-3-540-30499-9_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23931-4

  • Online ISBN: 978-3-540-30499-9

  • eBook Packages: Springer Book Archive

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