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International Symposium on Neural Networks

ISNN 2004: Advances in Neural Networks – ISNN 2004 pp 114–119Cite as

Stability Analysis of Discrete-Time Cellular Neural Networks

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

Abstract

Discrete-time cellular neural networks (DTCNNs) are formulated and studied in this paper. Several sufficient conditions are obtained to ensure the global stability of DTCNNs with delays based on comparison methods (not based on the well-known Liapunov methods). Finally, the simulating results demonstrate the validity and feasibility of our proposed approach.

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Author information

Authors and Affiliations

  1. Intelligent Computing Lab, Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, P.O.Box 1130, Hefei Anhui, 230031, China

    Zhigang Zeng & De-Shuang Huang

  2. Department of Automation, University of Science and Technology of China, Hefei, Anhui, 230026, China

    Zhigang Zeng & Zengfu Wang

Authors
  1. Zhigang Zeng
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  2. De-Shuang Huang
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  3. Zengfu Wang
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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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Cite this paper

Zeng, Z., Huang, DS., Wang, Z. (2004). Stability Analysis of Discrete-Time Cellular Neural Networks. 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_20

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  • DOI: https://doi.org/10.1007/978-3-540-28647-9_20

  • 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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