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An Analysis for Periodic Solutions of High-Order BAM Neural Networks with Delays

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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

In this paper, by employing Lyapunov functional and LMI technique, a sufficient condition is derived for checking the existence and exponential stability of the periodic solution for high-order BAM networks. This criterion has important significance in the design and applications of periodic neural circuits for the high-order BAM networks.

This work was jointly supported by the National Natural Science Foundation of China under Grant 60373067, the 973 Program of China under Grant 2003CB316904, the Natural Science Foundation of Jiangsu Province, China under Grants BK2003053 and BK2003001.

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Author information

Authors and Affiliations

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

    Jianlong Qiu & Jinde Cao

  2. Department of Mathematics, Linyi Normal University, Linyi, 276005, China

    Jianlong Qiu

Authors
  1. Jianlong Qiu
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  2. Jinde Cao
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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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Qiu, J., Cao, J. (2005). An Analysis for Periodic Solutions of High-Order BAM Neural Networks with Delays. 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_45

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  • DOI: https://doi.org/10.1007/11427391_45

  • 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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