Skip to main content
Log in

Existence and Global Exponential Stability of Periodic Solution of Cellular Neural Networks with Delay and Impulses

  • Published:
Results in Mathematics Aims and scope Submit manuscript

Abstract

This paper investigates the global periodicity of cellular neural network with impulses and constant delay. Several conditions guaranteeing the existence, uniqueness, and global exponential stability of periodic solution are derived by using the continuation theorem of coincidence degree theory and suitable degenerate Lyapuniv–Krasvovskii functional.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Chua L.O., Yang L.: Cellular neural networks: theory. IEEE Trans. Circuits Syst. 35, 1257–1272 (1988)

    Article  MATH  MathSciNet  Google Scholar 

  2. Chua L.O., Yang L.: Cellular neural networks: application. IEEE Trans. Circuits Syst. 35, 1273–1290 (1988)

    Article  MathSciNet  Google Scholar 

  3. Ariks S., Tavanoglu V.: Equilibrium analysis of delayed CNNs. IEEE Trans. Circuits Syst. I 45, 168–171 (1998)

    Article  Google Scholar 

  4. Ariks S., Tavanoglu V.: On the global asymptotic stability of delayed cellular neural networks. IEEE Trans. Circuits. Syst. I 47, 571–574 (2000)

    Article  Google Scholar 

  5. Liao T., Wang F.C.: Global stability for cellular neural networks with time delay. IEEE Trans. Neural Netw. 11, 1481–1484 (2000)

    Article  Google Scholar 

  6. Liao X.F., Wu Z.F., Yu J.B.: Stability analyses of cellular neural networks with continuous time delay. J. Comput. Appl. Math. 143, 29–47 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  7. Zhang Q., Wei X., Xu J.: Delay-dependent exponential stability of cellular neural networks with time-varying delays. Chaos Solitons Fractals 23, 1363–1369 (2005)

    MATH  MathSciNet  Google Scholar 

  8. Zhang Q., Wei X., Xu J.: On global exponential stability of delayed cellular neural networks with time-varying delays. Appl. Math. Comput. 162, 679–686 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  9. Zhang Q., Wei X., Xu J.: Stability analysis for cellularneural networks with variable delays. Chaos Solitons Fractals 28, 331–336 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  10. Zhang Y., Yu J.B., Wu Y.: Global stability analysis on a class of cellular neural networks. Sci. China Ser. E 44, 1–11 (2001)

    Article  MathSciNet  Google Scholar 

  11. Wang Q., Dai B.X.: Existence of positive periodic solutions for a neutral population model with delays and impulse. Nonlinear Anal. 69, 3919–3930 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  12. Zhao H.: Global exponential stability and periodicity of cellular neural networks with variable delays. Phys. Lett. A 336, 331–341 (2005)

    Article  MATH  Google Scholar 

  13. Dong M.: Global exponential stability and existence of periodic solutions of CNNs with delays. Phys. Lett. A 300, 49–57 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  14. Weng A.Z., Sun J.T.: Globally exponential stability of periodic solutions for nonlinear impulsive delay systems. Nonlinear Anal. 67, 1938–1946 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  15. Yang X.F., Liao X.F., Evans D.J., Tang Y.Y.: Existence and stability of periodic solution in impulsive Hopfield neural networks with finite distributed delays. Phys. Lett. A 343, 108–116 (2005)

    Article  MATH  Google Scholar 

  16. Gui Z.J., Yang X.S., Ge W.G.: Existence and global exponential stability of periodic solutions of recurrent cellular neural networks with impulses and delays. Math. Comput. Simulation 79, 14–29 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  17. Zhang J., Gui Z.J.: Periodic solutions of nonautonomous cellular neural networks with impulses and delays. Nonlinear Anal. Real World Appl. 10, 1891–1903 (2009)

    Article  MATH  MathSciNet  Google Scholar 

  18. Sun J.T., Wang Q.G., Gao H.Q.: Periodic solution for nonautonomous cellular neural networks with impulses. Chaos Solitons Fractals 40, 1423–1427 (2009)

    Article  MathSciNet  Google Scholar 

  19. Gains R.E., Mawhin J.L.: Coincidence Degree and Nonlinear Differential Equation. Springer-Verlag, Berlin (1977)

    Google Scholar 

  20. Dieudonn J.: Foundations of Modern Analysis. Academic Press, New York (1960) MR 22:11074

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hui Wang.

Additional information

A Project Supported by National Natural Science Foundation of China (Grant No.60972107, 60974020).

Rights and permissions

Reprints and permissions

About this article

Cite this article

Wang, H., Li, C. & Xu, H. Existence and Global Exponential Stability of Periodic Solution of Cellular Neural Networks with Delay and Impulses. Results. Math. 58, 191–204 (2010). https://doi.org/10.1007/s00025-010-0048-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00025-010-0048-y

Mathematics Subject Classification (2010)

Keywords

Navigation