Skip to main content

Novel Exponential Stability Criteria for Fuzzy Cellular Neural Networks with Time-Varying Delay

  • Conference paper

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

Abstract

This paper considers the problem of the global exponential stability of fuzzy cellular neural networks with time-varying delays. By employing Halanay-type inequalities, some novel delay-independent sufficient conditions under which the neural networks converge exponentially to the equilibria are derived. Our results are easier verifiable and less restrictive than previously known results.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Yang, T., Yang, L.B., Wu, C.W., Chua, L.O.: Fuzzy cellular neural networks: theory. In: Proceedings of IEEE International Workshop on Cellular Neural networks and Applications, pp. 181–186 (1996)

    Google Scholar 

  2. Yang, T., Yang, L.B., Wu, C.W., Chua, L.O.: Fuzzy cellular neural networks: applications. In: Proceedings of IEEE International Workshop on Cellular Neural networks and Applications, pp. 225–230 (1996)

    Google Scholar 

  3. Yang, T., Yang, L.B.: The Global stability of Fuzzy Cellular Neural Network. IEEE Trans. Circuist Syst_I 43(10), 880–884 (1996)

    Article  Google Scholar 

  4. Civalleri, P.P., Gilli, M.: On stability of cellular neural networks with delays. IEEE Trans. Circuist Syst_ I 40(3), 157–164 (1993)

    Article  MATH  MathSciNet  Google Scholar 

  5. Gopalsamy, K.: Stability and oscillations in delay differential equations of population dynamics. Kluwer, Dordrecht (1992)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chen, Y., Liao, X. (2004). Novel Exponential Stability Criteria for Fuzzy Cellular Neural Networks with Time-Varying Delay. 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_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-28647-9_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22841-7

  • Online ISBN: 978-3-540-28647-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics