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• W2074154503 abstract "This paper deals with the synchronization problem for competitive neural networks with different time scales, as well as mixed time-varying delays (both discrete and distributed time-varying delays) and stochastic disturbance. By using stochastic analysis approaches and constructing a novel Lyapunov–Krasovskii functional, an adaptive feedback controller is proposed to guarantee the exponential synchronization of proposed competitive neural networks in terms of p-norm. The synchronization results presented in this paper generalize and improve many known results. This paper also presents an illustrative example and uses simulated results of this example to show the feasibility and effectiveness of the theoretical results." @default.
• W2074154503 created "2016-06-24" @default.
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• W2074154503 date "2012-09-01" @default.
• W2074154503 modified "2023-10-02" @default.
• W2074154503 title "Adaptive synchronization for stochastic competitive neural networks with mixed time-varying delays" @default.
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• W2074154503 doi "https://doi.org/10.1016/j.cnsns.2012.01.021" @default.
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