Skip to main content
Springer Nature Link
Log in

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

  • Conference paper
Advances in Neural Networks – ISNN 2004 (ISNN 2004)

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

Included in the following conference series:

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 to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

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

  1. Department of Computer Science and Engineering, Chongqing University, 400044, Chongqing, P. R. China

    Yong Chen & Xiaofeng Liao

Authors
  1. Yong Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xiaofeng Liao
    View author publications

    You can also search for this author in PubMed Google Scholar

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

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