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- W2015128385 abstract "Abstract In this paper, we investigate the problem of global exponential stability analysis for a class of delayed recurrent neural networks. This class includes Hopfield neural networks and cellular neural networks with interval time-delays. Improved exponential stability condition is derived by employing new Lyapunov–Krasovskii functional and the integral inequality. The developed stability criteria are delay dependent and characterized by linear matrix inequalities (LMIs). The developed results are less conservative than previous published ones in the literature, which are illustrated by representative numerical examples." @default.
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- W2015128385 date "2011-03-01" @default.
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- W2015128385 title "Improved exponential stability analysis for delayed recurrent neural networks" @default.
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- W2015128385 doi "https://doi.org/10.1016/j.jfranklin.2010.11.002" @default.
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