Global exponential stability for stochastic Cohen-Grossberg neural networks with multiple time-varying delays (Q462662)
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scientific article; zbMATH DE number 6359399
| Language | Label | Description | Also known as |
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| English | Global exponential stability for stochastic Cohen-Grossberg neural networks with multiple time-varying delays |
scientific article; zbMATH DE number 6359399 |
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Global exponential stability for stochastic Cohen-Grossberg neural networks with multiple time-varying delays (English)
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21 October 2014
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Summary: In this paper, together with some Lyapunov functionals and effective mathematical techniques, sufficient conditions are derived to guarantee a class of stochastic Cohen-Grossberg neural networks with multiple time-varying delays to be globally exponential stability by using Linear Matrix Inequality (LMI) approach. Finally, a numerical example is provided to demonstrate the effectiveness of the proposed method by using MATLAB LMI toolbox.
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global exponential stability
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linear matrix inequality (LMI)
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Lyapunov functional
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multiple time-varying delays
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stochastic Cohen-Grossberg neural networks
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