Global exponential stability for stochastic Cohen-Grossberg neural networks with multiple time-varying delays Online publication date: Sat, 26-Jul-2014
by N. Mala; A.R. Sudamani Ramaswamy
International Journal of Mathematical Modelling and Numerical Optimisation (IJMMNO), Vol. 4, No. 4, 2013
Abstract: 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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