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Mean square exponential stability of impulsive stochastic reaction-diffusion Cohen–Grossberg neural networks with delays

Author

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  • Li, Dingshi
  • He, Danhua
  • Xu, Daoyi

Abstract

In this paper, we establish a method to study the mean square exponential stability of the zero solution of impulsive stochastic reaction-diffusion Cohen–Grossberg neural networks with delays. By using the properties of M-cone and inequality technique, we obtain some sufficient conditions ensuring mean square exponential stability of the zero solution of impulsive stochastic reaction-diffusion Cohen–Grossberg neural networks with delays. The sufficient conditions are easily checked in practice by simple algebra methods and have a wider adaptive range. Two examples are also discussed to illustrate the efficiency of the obtained results.

Suggested Citation

  • Li, Dingshi & He, Danhua & Xu, Daoyi, 2012. "Mean square exponential stability of impulsive stochastic reaction-diffusion Cohen–Grossberg neural networks with delays," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(8), pages 1531-1543.
    • Handle: RePEc:eee:matcom:v:82:y:2012:i:8:p:1531-1543
    DOI: 10.1016/j.matcom.2011.11.007
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    References listed on IDEAS

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    1. Xu, Liguang & Xu, Daoyi, 2009. "Exponential p-stability of impulsive stochastic neural networks with mixed delays," Chaos, Solitons & Fractals, Elsevier, vol. 41(1), pages 263-272.
    2. Wang, Xiaohu & Guo, Qingyi & Xu, Daoyi, 2009. "Exponential p-stability of impulsive stochastic Cohen–Grossberg neural networks with mixed delays," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(5), pages 1698-1710.
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    Cited by:

    1. Kao, Yonggui & Zhu, Quanxin & Qi, Wenhai, 2015. "Exponential stability and instability of impulsive stochastic functional differential equations with Markovian switching," Applied Mathematics and Computation, Elsevier, vol. 271(C), pages 795-804.

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