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- W2747252924 abstract "In this paper, the global asymptotic stability of two-time-scale competitive neural networks(CNNs) with multiple time-varying delays is investigated. By constructing a new ε-dependent Lyapunov functional, sufficient conditions for the global asymptotic stability of the concerned systems are established, and an optimization problem is formulated to get the best estimate of the ε-bound. Compared with the existing results, the proposed results are more general and less conservative in the sense of determining an upper bound for the time-scale parameter ε. Finally, three examples are given to illustrate the advantages of the obtained results." @default.
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- W2747252924 date "2018-01-01" @default.
- W2747252924 modified "2023-10-16" @default.
- W2747252924 title "Global asymptotic stability analysis of two-time-scale competitive neural networks with time-varying delays" @default.
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- W2747252924 doi "https://doi.org/10.1016/j.neucom.2017.07.047" @default.
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