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Stability of Non-autonomous Delayed Cellular Neural Networks

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Computational and Information Science (CIS 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3314))

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Abstract

The stability of non-autonomous delayed cellular neural networks is studied in this paper. By applying a delay differential inequality, a new sufficient condition which guarantees the global asymptotic stability is established. Since the condition does not impose differentiability on delay, it is less conservative than some established in the earlier references.

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, University Key Lab of Information Science & Engineering, Dalian University, Dalian, 116622, China

    Qiang Zhang & Xiaopeng Wei

  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. Dongsheng Zhou
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  3. Xiaopeng Wei
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Editor information

Editors and Affiliations

  1. School of Electronic Science and Technology, Anhui University, Hefei, Anhui, China

    Jun Zhang

  2. College of Science, Donghua University, 1882 Yan’an Xilu Road, 20051, Shanghai, China

    Ji-Huan He

  3. BASICS, Department of Computer Science and Engineering, Shanghai Jiao Tong University, 200030, Shanghai, China

    Yuxi Fu

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© 2004 Springer-Verlag Berlin Heidelberg

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Zhang, Q., Zhou, D., Wei, X. (2004). Stability of Non-autonomous Delayed Cellular Neural Networks. In: Zhang, J., He, JH., Fu, Y. (eds) Computational and Information Science. CIS 2004. Lecture Notes in Computer Science, vol 3314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30497-5_72

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  • DOI: https://doi.org/10.1007/978-3-540-30497-5_72

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24127-0

  • Online ISBN: 978-3-540-30497-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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