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Global robust stability analysis for uncertain stochastic neural networks of neutral-type with time-varying delays

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4 Author(s)
Tang Yi ; School of Electronic and Information Engineering, Chongqing University of Science and Technology, China ; Guoquan Liu ; Yubin Liu ; Runhua Wang

In this paper, by employing the Lyapunov-Krasovskii functional method, we investigate the global robust stability analysis problem for uncertain stochastic neural networks of neutral-type with time-varying delays. A new stability criterion is proposed in terms of linear matrix inequality (LMI). An example is given to show the effectiveness of the obtained results using LMI control toolbox in MATLAB.

Published in:

Electric Information and Control Engineering (ICEICE), 2011 International Conference on

Date of Conference:

15-17 April 2011