Skip to main content

Stability of Periodic Solution to Fuzzy BAM Neural Networks with Time-Varying Delays

  • Conference paper
  • 1056 Accesses

Part of the book series: Advances in Soft Computing ((AINSC,volume 54))

Abstract

In this paper, employing Lyapunov functional and elementary inequality \((2ab\leq ra^2+\frac{1}{r}b^2,\ r>0)\), some sufficient conditions are derived for the existence and uniqueness of periodic solution of fuzzy bi-directional associative memory (BAM) networks with time-varying delays, we obtain some new and simple criteria to ensure global exponential stability of periodic solution. These criteria are important in the design and applications of fuzzy BAM neural networks.

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   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
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. Kosto, B.: Adaptive bi-directional associative memories. Appl. Opt. 26, 4947–4960 (1987)

    Article  Google Scholar 

  2. Kosto, B.: Bi-directional associative memories. IEEE Trans. Systems Man Cybernet 18, 49–60 (1988)

    Article  MathSciNet  Google Scholar 

  3. Gopalsmy, K., He, X.Z.: Delay-independent stability in bi-directional associative memory networks. IEEE Trans. Neural Networks 5, 998–1002 (1994)

    Article  Google Scholar 

  4. Cao, J., Daniel, W., Ho, C., Huang, X.: LMI-based criteria for global robust stability of bidirectional associative memory networks with time delay. Nonlinear Analysis 66, 1558–1572 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  5. Cao, J., Wang, L.: Exponential stability and periodic oscilatory solution in BAM networks with delays. IEEE Trans. Neural Networks 13, 457–463 (2002)

    Article  Google Scholar 

  6. Zhao, H.: Global exponential stability of bidirectional associative memory neural networks with distributed delays. Phys. Lett. A 297, 182–190 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  7. Lou, X., Cui, B.: On the global robust stability of BAM neural networks with time-varying delays. Neurocomputing 70, 273–279 (2006)

    Article  Google Scholar 

  8. Park, J.H.: A novel criterion for global asymptotic stability of BAM neural networks with time delays. Chaos Solitons Fractals 29, 446–453 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  9. Chen, A., Cao, J., Huang, L.H.: Exponential stability of BAM neural networks with transmission delays. Neurocomputing 57, 435–454 (2004)

    Article  Google Scholar 

  10. Cao, J.: Global asymptotic stability of delayed bidirectional memory neural networks. Appl. Math. and Comput. 142, 333–339 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  11. Arik, S.: Global asymptotic stability of hybird bidirectional associative memory neural networks with time delays. Phys. Lett. A 351, 85–91 (2006)

    Article  Google Scholar 

  12. Arik, S., Tavasanoglu, V.: Global asymptotic stability analysis of bidirectional associative memory neural networks with time delays. Neurocomputing 68, 161–176 (2005)

    Article  Google Scholar 

  13. Song, Q., Zhao, Z., Li, Y.: Global exponential stability of BAM neural networks with distributed delays and reaction-diffusion terms. Phys. Lett. A 335, 213–225 (2005)

    Article  MATH  Google Scholar 

  14. Liang, J., Cao, J., Daniel, W., Ho, C.: Discrect-time bidirectional associative memory neural networks with variable delays. Phys. Lett. A 335, 226–234 (2005)

    Article  MATH  Google Scholar 

  15. Huang, X., Cao, J., Huang, D.: LMI-based approach for delay-dependent exponential stability analysis of BAM neural networks. Chaos Solitons Fractals 24, 885–898 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  16. Liu, Y., Tang, W.: Existence and exponential stability of periodic solution for BAM neural networks with coeffients and delays. Neurocomputing 69, 2152–2160 (2006)

    Article  Google Scholar 

  17. Cao, J., Jiang, Q.: An analysis of periodic solutions of bi-directional associative memory neural networks with time-varying delays. Phys. Lett. A 330, 203–213 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  18. Chen, A., Huang, L., Cao, J.: Existence and stability of almost periodic solution for BAM neural networks with delays. Appl. Math. Comput. 137, 177–193 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  19. Chen, A., Huang, L., Liu, Z., Cao, J.: Periodic bidirectional associative memory neural networks with distributed delays. Journal of Math. Analys. and Appl. 317, 80–102 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  20. Zhou, T., Chen, A., Zhou, Y.: Existence and global exponential stability of periodic solution to BAM neural networks with periodic coeffients and distibuted delays. Phys. Lett. A 343, 336–350 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  21. Liu, Z., Chen, A., Huang, L.: Existence and global exponential stability of periodic solution to self-connection BAM neural networks with delay. Phys. Lett. A 328, 127–143 (2004)

    Article  MATH  Google Scholar 

  22. Guo, S.J., Huang, L.H., Dai, B.X., Zhang, Z.Z.: Global existence of periodic solutions of BAM neural networks with coeffients. Phys. Lett. A 317, 97–106 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  23. Song, Q., Cao, J.: Global exponential stability and existence of periodic solutions in BAM neural networks with delays and reaction-diffusion terms. Chaos Solitons Fractals 23, 421–430 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  24. Yang, T., Yang, L.: The global stability of fuzzy cellular neural networks. IEEE Transactions on Circuits and SystemsI 43, 880–883 (1996)

    Article  Google Scholar 

  25. Yang, T., Yang, L., Wu, C., Chua, L.: Fuzzy cellular neural networks: theory. In: Proc. IEEE Int Workshop Cellular Neural Networks Appl., pp. 181–186 (1996)

    Google Scholar 

  26. Yang, T., Yang, L., Wu, C., Chua, L.: In: Pro. of IEEE International Workshop on Cellular Neural Neworks and Applications, p. 225 (1996)

    Google Scholar 

  27. Huang, T.: Exponential stability of fuzzy cellular neural networks with distributed delay. Phys. Lett. A 351, 48–52 (2006)

    Article  Google Scholar 

  28. Huang, T.: Exponential stability of delayed fuzzy cellular neural networks with diffusion. Chaos Solitons Fractals 31, 658–664 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  29. Yuan, K., Cao, J., Deng, J.: Exponential stability and periodic solutions of fuzzy cellular neural networks with time-varying delays. Neurocomputing 69, 1619–1627 (2006)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zhang, Qh., Yang, Lh. (2009). Stability of Periodic Solution to Fuzzy BAM Neural Networks with Time-Varying Delays. In: Cao, By., Zhang, Cy., Li, Tf. (eds) Fuzzy Information and Engineering. Advances in Soft Computing, vol 54. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88914-4_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-88914-4_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88913-7

  • Online ISBN: 978-3-540-88914-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics