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Analysis for Global Robust Stability of Cohen-Grossberg Neural Networks with Multiple Delays

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Advances in Neural Networks – ISNN 2004 (ISNN 2004)

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

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Abstract

Global Robust stability of a class of Cohen-Grossberg neural networks with multiple delays and parameter perturbations is analyzed. The sufficient conditions for the globally asymptotic stability of equilibrium point are given by way of constructing a suitable Lyapunov functional. Combined with the linear matrix inequality (LMI) technique, a practical corollary is derived. All results are established without assuming any symmetry of the interconnecting matrix, and the differentiability and monotonicity of activation functions.

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References

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Author information

Authors and Affiliations

  1. Institute of Information Science and Engineering, Northeastern University, Shenyang, 110004, P.R. China

    Ce Ji, Huaguang Zhang & Huanxin Guan

Authors
  1. Ce Ji
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  2. Huaguang Zhang
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  3. Huanxin Guan
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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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Ji, C., Zhang, H., Guan, H. (2004). Analysis for Global Robust Stability of Cohen-Grossberg Neural Networks with Multiple 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_17

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  • DOI: https://doi.org/10.1007/978-3-540-28647-9_17

  • 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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