Letters: Dynamics analysis of impulsive stochastic Cohen-Grossberg neural networks with Markovian jumping and mixed time delays

Authors:
Meng Dong;Huaguang Zhang;Yingchun Wang
Affiliations:
School of Information Science and Engineering, Northeastern University, Shenyang, Liaoning 110004, People's Republic of China;School of Information Science and Engineering, Northeastern University, Shenyang, Liaoning 110004, People's Republic of China;School of Information Science and Engineering, Northeastern University, Shenyang, Liaoning 110004, People's Republic of China
Venue:
Neurocomputing
Year:
2009

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Abstract

In this paper, the problem of dynamics analysis for a class of new impulsive stochastic Cohen-Grossberg neural networks with Markovian jumping and mixed time delays is researched. Some criteria for the asymptotical stability in mean square are obtained based on linear matrix inequality (LMI) forms, which can be easily solved by LMI Toolbox in Matlab. An example is given to show the effectiveness of the obtained results.