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In this paper, the problem for recurrent neural networks is considered. It is stochastic and contains jumping parameters which are continuous-time Markov process. Delay is mode-dependent and this model is affected by multiplicative noise. Based on the Lyapunov stability theory combined with linear matrix inequalities (LMIs) techniques, we would get some new criteria to guarantee that they are robust...
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