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The paper presents M-matrix algebraic criteria for the input-to-state stability of a class of stochastic recurrent neural networks with Markovian switching. First, the criterion without the time delays is derived. Then, the result is extended to time-varying condition. The criterion also ensures globally exponential stability if there is no input term. These conditions are the improvement and extension...
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