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New Stability Results for Delayed Neural Networks

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KI 2005: Advances in Artificial Intelligence (KI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3698))

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Abstract

By constructing suitable Lyapunov functionals and combing with matrix inequality technique, some new sufficient conditions are presented for the global asymptotic stability of delayed neural networks. These conditions contain and improve some of the previous results in the earlier references.

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Author information

Authors and Affiliations

  1. Liaoning Key Lab of Intelligent Information Processing, Dalian University, Dalian, 116622, China

    Qiang Zhang

Authors
  1. Qiang Zhang
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Artificial Intelligence Research Group, University of Koblenz-Landau,, Universitätsstr. 1, 56070, Koblenz

    Ulrich Furbach

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© 2005 Springer-Verlag Berlin Heidelberg

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Zhang, Q. (2005). New Stability Results for Delayed Neural Networks. In: Furbach, U. (eds) KI 2005: Advances in Artificial Intelligence. KI 2005. Lecture Notes in Computer Science(), vol 3698. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11551263_18

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  • DOI: https://doi.org/10.1007/11551263_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28761-2

  • Online ISBN: 978-3-540-31818-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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