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- W2243589246 abstract "In this paper, the anti-synchronization control of memristor-based recurrent neural networks with impulsive perturbations is studied. By using differential inclusions theory, the Lyapnov functional method and the inequality technique, some sufficient conditions are derived to ensure impulsive exponential anti-synchronization of memristor-based recurrent neural networks. The new proposed results involve the impulsive effects and improve the earlier publications. Numerical examples are given to show the effectiveness of our new schemes." @default.
- W2243589246 created "2016-06-24" @default.
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- W2243589246 date "2015-11-01" @default.
- W2243589246 modified "2023-09-26" @default.
- W2243589246 title "Global anti-synchronization of memristor-based recurrent neural networks with time-varying delays and impulsive effects" @default.
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- W2243589246 doi "https://doi.org/10.1109/icicip.2015.7388165" @default.
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