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International Symposium on Neural Networks

ISNN 2004: Advances in Neural Networks – ISNN 2004 pp 78–83Cite as

Global Exponential Stability of Cohen-Grossberg Neural Networks with Multiple Time-Varying Delays

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3173))

Abstract

A new sufficient condition is presented ensuring the global exponential stability of Cohen-Grossberg neural networks with multiple time-varying delays by using an approach based on the Halanay inequality combing with Young inequality. Furthermore, a more subtle estimate is also given for the exponential decay rate.

This work was jointly supported by the National Natural Science Foundation of China under Grant 60373067, the Natural Science Foundation of Jiangsu Province, China under Grants BK2003053 and BK2003001, Qing-Lan Engineering Project of Jiangsu Province and the Foundation of Southeast University, Nanjing, China under grant XJ030714.

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References

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Author information

Authors and Affiliations

  1. Department of Mathematics, Southeast University, Nanjing, 210096, China

    Kun Yuan & Jinde Cao

Authors
  1. Kun Yuan
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  2. Jinde Cao
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Editor information

Editors and Affiliations

  1. School of Electronic and Information Engineering, Dalian University of Technology, 116023, Dalian, China

    Fu-Liang Yin

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

    Jun Wang

  3. School of Electronic and Information Engineering, Dalian University of Technology, 116023, Dalian, Liaoning, China

    Chengan Guo

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© 2004 Springer-Verlag Berlin Heidelberg

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Yuan, K., Cao, J. (2004). Global Exponential Stability of Cohen-Grossberg Neural Networks with Multiple Time-Varying Delays . In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks – ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28647-9_14

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  • DOI: https://doi.org/10.1007/978-3-540-28647-9_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22841-7

  • Online ISBN: 978-3-540-28647-9

  • eBook Packages: Springer Book Archive

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