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Stability Analysis for Impulsive Stochastic Reaction-Diffusion Differential System and Its Application to Neural Networks

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  • Yanke Du
  • Yanlu Li
  • Rui Xu

Abstract

This paper is concerned with the stability of impulsive stochastic reaction-diffusion differential systems with mixed time delays. First, an equivalent relation between the solution of a stochastic reaction-diffusion differential system with time delays and impulsive effects and that of corresponding system without impulses is established. Then, some stability criteria for the stochastic reaction-diffusion differential system with time delays and impulsive effects are derived. Finally, the stability criteria are applied to impulsive stochastic reaction-diffusion Cohen-Grossberg neural networks with mixed time delays, and sufficient conditions are obtained for the exponential -stability of the zero solution to the neural networks. An example is given to illustrate the effectiveness of our theoretical results. The systems we studied in this paper are more general, and some existing results are improved and extended.

Suggested Citation

  • Yanke Du & Yanlu Li & Rui Xu, 2013. "Stability Analysis for Impulsive Stochastic Reaction-Diffusion Differential System and Its Application to Neural Networks," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-12, August.
    • Handle: RePEc:hin:jnljam:785141
    DOI: 10.1155/2013/785141
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    Cited by:

    1. Chunxiang Li & Fangshu Hui & Fangfei Li, 2023. "Stability of Differential Systems with Impulsive Effects," Mathematics, MDPI, vol. 11(20), pages 1-23, October.

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