Skip to main content
Log in

Mean Square Stability of Impulsive Stochastic Delayed Reaction-Diffusion Equations via Comparison Principle with Razumikhin Method

  • Published:
Journal of Systems Science and Complexity Aims and scope Submit manuscript

Abstract

This paper investigates the mean square stability problem for impulsive stochastic delayed reaction-diffusion equations. By employing stochastic analysis theory, impulsive differential inequality technique and Razumikhin method, comparison principle for impulsive stochastic delayed reaction-diffusion equations is firstly established. Then, by using the comparison principle, some sufficient conditions are derived to ensure the mean square stability, mean square uniform stability, mean square asymptotic stability and mean square exponential stability of such systems. Finally, an example is provided to show the effectiveness of the proposed results.

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. Wang C Q, A class of impulsive stochastic parabolic functional differential equations and their asymptotics, Acta Applicandae Mathematicae, 2016, 146(1): 163–186.

    Article  MathSciNet  MATH  Google Scholar 

  2. Xiao S M and Chen H B, Existence and exponential stability for impulsive stochastic partial functional differential equations, Journal of Mathematical Physics, 2017, 58(3): 1–18.

    Article  MathSciNet  Google Scholar 

  3. Li D S, He D H, and Xu D Y, Mean square exponential stability of impulsive stochastic reaction-diffusion Cohen-Grossberg neural networks with delays, Mathematics and Computers in Simulation, 2012, 82(8): 1531–1543.

    Article  MathSciNet  MATH  Google Scholar 

  4. Tan J, Li C D, and Huang T W, The stability of impulsive stochastic Cohen-Grossberg neural networks with mixed delays and reaction-diffusion terms, Cognitive Neurodynamics, 2016, 9(2): 213–220.

    Article  Google Scholar 

  5. Zhang W Y, Li J M, Ding C Y, et al., pth moment exponential stability of hybrid delayed reaction-diffusion Cohen-Grossberg neural networks, Neural Processing Letters, 2017, 46(1): 83–111.

    Article  Google Scholar 

  6. Liao X X, Absolute Stability of Nonlinear Control Systems, Springer-Verlag, New York, 2010.

    Google Scholar 

  7. Li X D, Shen J H, Akca H, et al., Comparison principle for impulsive functional differential equations with infinite delays and applications, Commun. Nonlinear Sci. Numer. Simulat., 2018, 57(4): 309–321.

    Article  MathSciNet  Google Scholar 

  8. Alwan M S, Liu X Z, and Xie W C, Stability properties of nonlinear stochastic impulsive systems with time delay, Stochastic Analysis and Applications, 2016, 34(1): 117–136.

    Article  MathSciNet  MATH  Google Scholar 

  9. Li Z and Li S Y, Convergence and stability of stochastic parabolic functional differential equations, Advances in Difference Equations, 2018, 2018(1): 275–288.

    Article  MathSciNet  MATH  Google Scholar 

  10. Luo J W, Zou J Z, and Hou Z T, Comparison principle and stability criteria for stochastic differential delay equations with Markovian switching, Science in China Series A: Mathematics, 2003, 46(1): 129–138.

    Article  MathSciNet  MATH  Google Scholar 

  11. Peng S G and Zhang Y, Razumikhin-type theorems on pth moment exponential stability of impulsive stochastic delay differential equations, IEEE Transactions on Automatic Control, 2010, 55(8): 1917–1922.

    Article  MathSciNet  MATH  Google Scholar 

  12. Li Y B and Kao Y G, Stability of stochastic reaction-diffusion systems with Markovian swithching and impulsive perturbations, Mathematical Problems in Engineering, 2012, 2012: 1–13.

    Google Scholar 

  13. Liu J G, Global exponential stability and periodicity of reaction-diffusion delayed recurrent neural networks with Dirichlet boundary conditions, Chaos Solitons & Fractals, 2008, 35(4): 116–125.

    Article  MathSciNet  MATH  Google Scholar 

  14. Li Y B and Kao Y G, Stability of coupled impulsive Markovian jump reaction-diffusion systems on networks, Journal of Systems Science and Complexity, 2016, 29(5): 1269–1280.

    Article  MathSciNet  MATH  Google Scholar 

  15. Lakshmikanthan V, Bainov D D, and Simeonov P S, Theory of Impulsive Differential Equations, World Scientific, Singapore, 1989.

    Book  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shuyong Li.

Additional information

This research was supported by the National Natural Science Foundation of China under Grant No. 11571245.

This paper was recommended for publication by Editor SUN Jian.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, Z., Li, S. Mean Square Stability of Impulsive Stochastic Delayed Reaction-Diffusion Equations via Comparison Principle with Razumikhin Method. J Syst Sci Complex 33, 1012–1022 (2020). https://doi.org/10.1007/s11424-020-8353-3

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11424-020-8353-3

Keywords

Navigation