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Global asymptotic stability problem is studied for a class of recurrent neural networks with distributed delays satisfying Lebesgue–Stieljies measures on the basis of linear matrix inequality. The concerned network model includes many neural network models with various delays and structures as its special cases, such as the delays covering the discrete delays and distributed delays, and the network...
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