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• W2133184497 abstract "In this paper, an adaptive control scheme is developed to study the anti-synchronization behavior of time-delayed chaotic neural networks with unknown parameters. This adaptive anti-synchronization controller is designed based on Lyapunov-Krasovskii theory and an analytic expression of the controller with its adaptive laws of parameters is shown. The proposed synchronization method guarantees the asymptotical anti-synchronization of drive and response systems. Furthermore, this method reduces the effect of external disturbance to an norm constraint. The proposed controller can be obtained by solving a linear matrix inequality (LMI) problem. An illustrative example is given to demonstrate the effectiveness of the proposed method." @default.
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• W2133184497 date "2009-12-01" @default.
• W2133184497 modified "2023-10-17" @default.
• W2133184497 title "Adaptive H Anti-Synchronization for Time-Delayed Chaotic Neural Networks" @default.
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• W2133184497 doi "https://doi.org/10.1143/ptp.122.1391" @default.
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