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- W2074268388 abstract "Memristive neural networks are studied across many fields of science. To uncover their structural design principles, the paper introduces a general class of memristive neural networks with time delays. Passivity analysis is conducted by constructing suitable Lyapunov functional. The analysis in the paper employs the results from the theories of nonsmooth analysis and linear matrix inequalities. A numerical example is provided to illustrate the effectiveness and less conservatism of the proposed results." @default.
- W2074268388 created "2016-06-24" @default.
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- W2074268388 date "2014-01-01" @default.
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- W2074268388 title "Exponential passivity of memristive neural networks with time delays" @default.
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- W2074268388 doi "https://doi.org/10.1016/j.neunet.2013.09.002" @default.
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