Exponential p-stability of impulsive stochastic Cohen–Grossberg neural networks with mixed delays

Xiaohu Wang, Qingyi Guo and Daoyi Xu

Mathematics and Computers in Simulation (MATCOM), 2009, vol. 79, issue 5, 1698-1710

Abstract: In this paper, we study the impulsive stochastic Cohen–Grossberg neural networks with mixed delays. By establishing an L-operator differential inequality with mixed delays and using the properties of M-cone and stochastic analysis technique, we obtain some sufficient conditions ensuring the exponential p-stability of the impulsive stochastic Cohen–Grossberg neural networks with mixed delays. These results generalize a few previous known results and remove some restrictions on the neural networks. Two examples are also discussed to illustrate the efficiency of the obtained results.

Keywords: Exponential p-stability; Impulsive; Stochastic; Mixed delays; L-operator inequality (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:79:y:2009:i:5:p:1698-1710

DOI: 10.1016/j.matcom.2008.08.008

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