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- W2069466799 abstract "In this paper, the global exponential stability is investigated for the Cohen-Grossberg neural networks with time-varying delay. By using the appropriate Lyapunov-Krasovskii functional and equivalent descriptor form of the considered system, an LMI-based delay-dependent sufficient condition is obtained to guarantee the exponential stability of the addressed neural networks, which can be checked readily by resorting to the Matlab LMI toolbox. A numerical example is given to show the effectiveness and less conservatism of the obtained methods." @default.
- W2069466799 created "2016-06-24" @default.
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- W2069466799 date "2006-07-01" @default.
- W2069466799 modified "2023-10-16" @default.
- W2069466799 title "Exponential Stability Criterion for Cohen-Grossberg Neural Networks with Time-varying Delay" @default.
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- W2069466799 doi "https://doi.org/10.1109/chicc.2006.4347316" @default.
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